Google Cloud Professional Architect Certification Exam Answers

Google Cloud Professional Architect Certification Exam Answers

The All-in-one Google Professional Cloud Architect Certification Exam Preparation Guide With Real Test Questions, Answers, and Explanations. The only Google Cloud Professional (GCP) Architect certification exam preparation guide based on the real exam questions. Hundreds of questions, with correct answers, and explanations.

Prepare for your certification smarter.

• Over 480 exam questions Google Cloud Professional Architect certification exam questions.
• Real certification exam questions
• Detailed answer explanations.

 

Are you aspiring to become a Google Cloud Professional Architect? The journey to achieving this prestigious certification can be rigorous, but with the right resources, it’s entirely within your reach. That’s where our “All-in-One Google Professional Cloud Architect Certification Exam Preparation Guide” comes into play, providing you with an indispensable tool to conquer the exam.

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Our guide is meticulously crafted with a focus on helping you prepare effectively for the Google Cloud Professional Architect Certification Exam. It’s not just any study material; it’s a compilation based on the real exam questions. This means you’re getting a taste of what to expect, reducing surprises on the exam day.

Key Features of the Guide:

Real Exam Questions: We offer over 480 real exam questions. This extensive collection ensures that you cover a wide array of topics and question formats that are likely to appear in the actual exam.

Correct Answers and Explanations: Each question is accompanied by the correct answer and detailed explanations. This approach not only helps you in memorizing the answers but also in understanding the underlying concepts, which is crucial for a thorough comprehension of Google Cloud architecture.

Prepare Smarter, Not Harder: With a focus on real exam questions, our guide lets you prepare smarter. You spend your time efficiently by concentrating on the type of questions that matter most.

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Our guide is not just a collection of questions; it’s a comprehensive tool designed to empower you with confidence and knowledge. Whether you’re a seasoned professional or new to Google Cloud, this guide caters to all levels of expertise. Its structured approach to presenting real exam questions, followed by answers and explanations, makes it a unique and powerful resource for your preparation journey.

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Embarking on the path to becoming a Google Cloud Professional Architect is a significant step in your career. With our “All-in-One Google Professional Cloud Architect Certification Exam Preparation Guide,” you’re not just preparing for an exam; you’re building a solid foundation for your future in the cloud technology realm. Invest in your success and make your certification journey smoother and more efficient. Prepare smarter and step confidently into your exam with our expertly crafted guide by your side.

Google Cloud Professional Architect Certification Exam Practice Test

Below you’ll find some mock questions with explanations. Check if you knew the answer. This covers some key aspects from the latest GCP Cloud Professional Architect certification.

 

 

Questions:

 

When managing a globally distributed application that delivers both static and dynamic HTTP/HTTPS content, which Google Cloud Load Balancer configuration is most effective for ensuring high availability and low latency, particularly when a single IP address is needed for global routing?

• Global HTTP(S) Load Balancer
• Regional TCP Proxy Load Balancer
• Global SSL Proxy Load Balancer
• Regional External HTTP(S) Load Balancer
• Regional Internal HTTP(S) Load Balancer

 

For a large-scale financial institution deploying machine learning models on GCP for fraud detection, with a stringent policy on data encryption at rest, in transit, and during ML computation, which GCP service or combination of services best aligns with these requirements?

• AI Platform Training with Customer-Managed Encryption Keys (CMEK)
• Data prep for feature engineering and AI Platform Prediction with default encryption
• AI Platform Training with CMEK and Secure ML
• BigQuery ML with CMEK and Data Loss Prevention API
• TensorFlow on GKE with Istio for in-transit encryption

 

To establish a comprehensive data lake solution in GCP that handles batch and stream data ingestion, as well as transformations and analytics with SQL-like queries, which set of GCP services should be utilized?

• BigQuery, Cloud Pub/Sub, and Dataflow
• BigTable and Dataprep
• BigQuery and Dataprep
• Cloud Spanner, Dataflow, and BigQuery
• Cloud Storage, BigQuery, and Cloud Scheduler

 

Following the migration of a monolithic application to a microservices architecture on GCP, which combination of services should be employed to ensure high availability, fault tolerance, and the facilitation of canary deployments?

• Compute Engine with Managed Instance Groups and Cloud Monitoring
• API Gateway with Cloud Endpoints and Cloud Armor
• Kubernetes Engine with Istio and Traffic Director
• App Engine with Traffic Splitting and Cloud CDN
• Cloud Functions with Pub/Sub and VPC Peering

 

For a multinational corporation seeking a scalable and cost-effective solution on GCP to store and analyze large volumes of data, which service is most appropriate?

• Google Cloud Bigtable
• Google Cloud Storage
• Google Cloud Spanner
• Google Cloud Pub/Sub
• Google Cloud Dataflow

 

In designing a highly available GCP architecture for a worldwide e-commerce platform, which service is optimal for balancing traffic effectively while ensuring low latency for both IPv4 and IPv6 clients?

• Google Cloud Load Balancer with global HTTP(S) load balancing
• Google Cloud Traffic Director for advanced traffic management
• Google Cloud CDN for content delivery optimization
• Google Cloud Armor for DDoS protection
• Google Cloud NAT Gateway for network address translation

 

When your development team needs to deploy a new instance in the europe-central2 region, requiring access to an application on a Compute Engine instance in the us-west1 region within the same project, what is the recommended approach following Google’s best practices?

• Create a VPC and a subnetwork in europe-central2 region, expose the application with an internal load balancer, and use the load balancer’s address for the new instance in the subnetwork.
• Create a subnetwork in the same VPC in europe-central2 region, use Cloud VPN to connect the subnetworks, and use the first instance’s private address for the new instance.
• Create a subnetwork in the same VPC in europe-central2 region, and use the first instance’s private address for the new instance in the subnetwork.
• Create a VPC and a subnetwork in europe-central2 region, peer the two VPCs, and use the first instance’s private address for the new instance in the subnetwork.

 

For deploying a new instance in the europe-central2 region that needs to access an application on a Compute Engine instance in the us-west1 region within the same project, what is the recommended practice according to Google’s guidelines?

• Create a subnetwork in the same VPC in the europe-central2 region, then deploy a new instance in this subnetwork using the first instance’s private address as the endpoint.
• Utilize Cloud VPN to establish an encrypted tunnel between VPCs for secure connectivity.
• Implement VPC peering for inter-VPC private communication.
• Set up Cloud Router and BGP sessions for dynamic routing between VPCs.

 

When your development team plans to set up a new instance in europe-central2 with access requirements to an application on a Compute Engine instance in us-west1 within the same project, what would be the advisable approach following Google’s best practices?

• Establish a subnetwork in the same VPC in the europe-central2 region and provision a new instance in this subnetwork, utilizing the original instance’s private address as the endpoint.
• Employ Cloud VPN to facilitate encrypted tunnel connections between the VPCs.
• Apply VPC peering for private inter-VPC communications.
• Configure Cloud Router and BGP sessions for effective dynamic routing across VPCs.

 

As a Cloud Engineer aiming to manage CPU and memory resources efficiently in a Kubernetes cluster, what should you configure to receive notifications if CPU usage exceeds 80% for 5 minutes or memory usage goes over 90% for 1 minute?

• Set up a complex alerting rule in a custom monitoring agent.
• Establish a Cloud Pub/Sub topic with a Cloud Scheduler job for alerts.
• Implement a custom logging pipeline to monitor resource usage.
• Formulate an alerting policy with specific conditions for CPU and memory usage thresholds.

 

To establish development, test, and production environments in Google Cloud for a project, while ensuring consistency and adhering to Google’s best practices, what is the recommended approach?

• Create a unified Terraform configuration for all environments.
• Utilize the Cloud Foundation Toolkit to design a versatile deployment template, deployable across all environments using Terraform.
• Develop a Cloud Shell script incorporating gcloud commands for environment deployment.
• Formulate separate Terraform configurations for each environment, deploying them as needed.

 

Given that the finance department requires logs from a financial application to be retained for five years, rarely accessed but available within three days if needed, what is the most suitable storage recommendation?

• Archive the logs in BigQuery for on-demand analysis.
• Transfer the logs to Cloud Storage and utilize Coldline storage class.
• Retain the logs in Cloud Logging for straightforward retrieval.
• Relocate the logs to Cloud Pub/Sub for process-driven analysis.

 

Your company’s finance department requires long-term storage of logs from a financial application, with a five-year retention period and accessibility within three days on demand. What storage method would you recommend?

• Archive the logs for immediate analysis in BigQuery.
• Migrate the logs to Cloud Storage, opting for the Coldline storage class.
• Keep the logs readily accessible in Cloud Logging.
• Channel the logs through Cloud Pub/Sub for event-responsive processing.

 

• Your application receives millions of API requests per second, and you want to manage them effectively.
  You need a GCP service that allows customization of API behavior without writing code, and also provides
  analytics, monitoring, and quotas. Which service will you use?
• You're tasked with implementing an IoT solution that needs to handle a large number of device messages
  per second. These messages need to be ingested into a real-time analytics pipeline. Which GCP service
  would you use for message queuing?
• You are designing a system where you have to enforce VPC Service Controls for restricting data access
  within the organization. However, the application should still be able to access APIs like Cloud Vision.
  What should you do?
• You need to enforce IAM policies in a hierarchical manner across multiple GCP projects for your
  organization. You need to implement the principle of least privilege. Which GCP feature should you
  primarily make use of for effective IAM management?
• To restrict traffic to a subnet hosting databases during your migration, which combination of GCP services
  and features should you use?
• An e-commerce site has seen a surge in bot attacks. You need to ensure API security without affecting
  performance. Which GCP services should you employ for this use case?
• Your application consists of microservices that require granular control over network traffic and intricate
  security policies. Which combination of GCP services should you use?
• You're planning to migrate an on-premises database to GCP. What should be considered for a smooth
  migration? (Select 3)
• An application in a Managed Instance Group requires that files uploaded by users be available only for 30
  days. Which GCP storage solution should you opt for?
• An organization is implementing a CI/CD pipeline in GCP for a microservices-based application. The
  pipeline needs to deploy multiple services in a Kubernetes cluster, manage secrets, and roll back in case
  of failure. Which combination of GCP services is best for implementing this?
• Your application's front-end is hosted on Compute Engine instances and you are using Cloud Spanner for
  your database. You need to secure the communication between the two, ensuring low latency and high
  throughput. What is the best way to achieve this?
• In a GKE Autopilot cluster, you want to achieve stateful workload isolation in different zones within the
  same region. How can you most effectively accomplish this?
• You are deploying a data analytics pipeline, and you want to implement IaC for the entire lifecycle of the
  GCP resources involved (Dataflow, Pub/Sub, BigQuery). Which GCP service allows you to template these
  resources while supporting custom Python logic?
• You are running a multi-cloud environment, and you need to keep track of GCP expenses compared to
  other cloud providers. You need to quickly drill down into cost anomalies. What should you do?
• You have a Managed Instance Group (MIG) serving traffic through an HTTP(S) Load Balancer. You want to
  divert a portion of traffic to a new set of instances for A/B testing without creating a new load balancer.
  What is the best approach?
• Your GKE cluster has an application that processes high volumes of real-time data and uses Cloud
  Pub/Sub for message queuing. You want to guarantee strict message ordering. How would you accomplish
  this?
• In a GKE environment, you need to provide a third-party auditing entity with logs to prove that your
  application has not been tampered with. Which GCP service should you use to securely store these logs?
• Your company has strict data residency requirements, and you are considering using GCP's data storage
  services. Which of the following services allows you to specify the region where your data is stored?
• Your organization requires a solution for a stateful application that needs session persistence. Traffic
  comes from both internal services and the Internet. The organization also needs integration with
  Identity-Aware Proxy for context-aware access control. Which combination of GCP services should be
  used for these specific needs?
• You are developing an application that requires rapid access to a key-value store, low-latency reads and
  writes, and the ability to scale horizontally. What GCP service would you recommend for meeting these
  specific storage requirements?
• For a global IoT application that needs to ingest data from millions of devices, which GCP service would be
  best suited to handle large-scale data ingestion? In addition, which service would you recommend for
  real-time analytics of this data?
• You are configuring a CI/CD pipeline using Cloud Build. You need to ensure that the build process can
  access source code from Cloud Source Repositories, build Docker images, and deploy them to GKE. What
  combination of roles would best suit this requirement without violating the least privilege principle?
• You need to implement a highly available and fault-tolerant database solution in GCP for a mission-critical
  application. Which GCP database service and configuration would you recommend?
• Your organization is deploying a new service and wants to monitor API calls, latency, and also automate
  scaling based on custom metrics. What GCP services will best facilitate this?
• You are tasked with deploying a latency-sensitive application on GCP. The application makes API calls to
  various microservices. You also need to ensure that the application is cost-effective. What is the best
  approach to minimize latency while keeping costs down?
• Your organization is deploying a new service and wants to monitor API calls, latency, and also automate
  scaling based on custom metrics. What GCP services will best facilitate this?
• You are tasked with setting up a Cloud Interconnect connection that must be operational at all times and
  cannot afford any downtime. You've been asked to design it in the most fault-tolerant way. How would you
  proceed?
• Your application running on Kubernetes Engine requires access to a managed NoSQL database that
  supports automatic sharding. Which GCP service should you use?
• You are responsible for designing a data warehouse solution that should be able to handle both batch and
  real-time data processing workloads. What GCP service would be best suited for this scenario?
• Your application needs to move data between different GCP services for various transformations. What
  services would best suit this requirement for building an event-driven data pipeline?
• You are implementing a policy where no Compute Engine instances should have public IPs. You want this
  policy to be organization-wide. Which feature would you use to enforce this policy?
• When deploying a containerized application to GKE, which feature ensures automatic scaling of your pods
  based on custom Cloud Monitoring metrics?
• Your GKE cluster's worker nodes are experiencing high latency during peak hours, affecting the
  application's performance. What is the next best step?
• You are implementing a hybrid cloud with on-premises servers and GCP. You need low-latency, secure
  communication between on-premises and GCP. What GCP service should you use?
• You are migrating a CPU-intensive machine learning application to GCP and need to optimize costs. Your
  application can tolerate some downtime. What type of VMs and scheduling should you use?
• Your organization has opted for the Flat-rate pricing model in BigQuery. You want to allocate the dedicated
  slots to various departments based on their requirements. Which BigQuery feature allows you to do this?
• Your application has a microservices architecture, and you need to trace requests across multiple
  services, capture latency data, and have real-time monitoring. Which set of GCP services would fulfill
  these requirements?
• Your team has built a machine learning model for predictive maintenance of factory machinery. The model
  needs to be retrained every month with new data. What GCP service will allow you to automate this
  process?
• For compliance reasons, you need to retain API call logs for your services in Google Cloud for an extended
  period. Which service and feature will allow you to customize the retention policy for logs?
• You are responsible for ensuring high availability and fault tolerance for a mission-critical application.
  Which GCP service will allow you to distribute incoming traffic across multiple instances in different
  regions?
• Your organization needs to perform real-time analytics on large volumes of rapidly changing data. Which
  GCP service would be most suitable for this requirement?
• Your application needs to stream large files from storage for video processing. Speed is essential. The
  application runs on Compute Engine instances, and you need a storage option that allows multiple
  instances to read and write the same files. Which GCP storage option is most appropriate?
• Your organization wants to optimize costs for a set of non-critical, short-lived Compute Engine instances.
  These instances should automatically terminate after their work is done and should be very cost-effective.
  What would you recommend?
• Your application on Compute Engine generates a significant amount of logs. You are concerned about the
  cost of storing these logs while ensuring they are easily searchable. What strategy should you
  recommend?
• Your organization wants to migrate a petabyte-scale data warehouse to BigQuery. Which GCP service
  should be used for the most efficient and secure data transfer?
• Your organization wants to implement a data lake architecture on GCP. Which GCP service provides the
  most native integrations with open-source big data tools like Apache Spark and Apache Hadoop?
• As a Cloud Architect, you are implementing an IoT solution where devices are expected to send data at
  unpredictable intervals. The data will be used for both real-time analytics and long-term storage. Which
  GCP service should be used for ingesting this type of data?
• You're tasked with implementing a robust security monitoring solution for an organization using Google
  Cloud. The organization wants real-time alerts based on the detection of suspicious activities across all
  GCP services. What GCP service should be your primary focus for achieving this requirement?
• You are working on a machine learning model that needs to be trained on a large dataset. The training
  needs to be cost-effective and should be able to scale horizontally. What combination of GCP services
  should you consider for this scenario?
• You're in charge of ensuring compliance with data protection laws such as GDPR. You need to
  automatically classify, redact, and report sensitive information in your GCP environment. Which set of
  services would be best for achieving this?
• You're tasked with improving the security posture of your GCP project. You need to continuously monitor
  for security threats, enforce security policies, and manage security keys. Which combination of services
  would you use?
• Your organization is keen on migrating a monolithic application to a microservices architecture on GCP.
  They are particularly concerned about the networking aspects such as service discovery, load balancing,
  and fault tolerance. What should you recommend?
• Your organization wants to develop a mobile application backed by a secure and scalable API. The
  application will make use of user authentication, a database, and machine learning functionalities. Which
  combination of GCP services is best suited for this requirement?
• You are responsible for maintaining a multi-regional storage solution for an application that serves millions
  of users worldwide. The solution needs to have low-latency read and write operations, global transaction
  consistency, and scalability. Which GCP service is the most appropriate choice?
• You are architecting a CI/CD pipeline for a multi-cloud environment. You need to ensure seamless
  deployment to both GCP and AWS. Which GCP service would you select for this requirement?
• Your organization is leveraging BigQuery for data analytics. You're responsible for optimizing costs. Which
  of the following practices would most effectively reduce query costs in BigQuery?
• Your company needs to analyze large sets of streaming data to make real-time decisions. The analytics
  team prefers to use SQL for querying. Which GCP service should you recommend?
• You are responsible for ensuring that only specific teams within your organization can access certain
  resources in a GCP project. What is the most effective way to manage this while adhering to the principle
  of least privilege?
• Your team needs to create a virtual network that spans multiple GCP projects. You also need fine-grained
  control over the routing and IP address range for the virtual network. Which GCP networking product will
  allow you to achieve this?
• You are designing a system to process and store data coming from IoT devices. This data is of various
  types and formats. It is crucial to ensure that the system can handle schema evolution seamlessly. What
  Google Cloud storage option would be best suited for this scenario?
• You have an application using GCP's Cloud Spanner, and you've noticed that write operations are
  becoming a bottleneck as your application scales. What is the best approach to resolve this issue?
• Your company has strict requirements for data residency and needs to ensure that data in a Cloud Spanner
  database does not leave a specific region. How would you configure Cloud Spanner to meet this
  requirement?
• As a Cloud Architect, you have to implement a CI/CD pipeline in GCP for a microservices-based
  application. You want to automate testing and deployment while adhering to the principles of immutability
  and infrastructure as code. Which combination of GCP services will best meet these requirements?
• Your application requires a managed database service that supports ACID transactions and offers
  seamless scalability. However, the application also has a read-heavy workload, and you are looking to
  balance cost with performance. Which database service should you choose?
• You have a set of machine learning models that you want to deploy and manage at scale. These models
  were not trained on Google Cloud and are in different formats. What GCP service should you consider
  using to meet these requirements?
• You're responsible for an application where numerous IoT devices send data to GCP. These devices are
  spread globally, and you need to process these messages in real-time for analytics. The devices send data
  over MQTT. What combination of GCP services should you use?
• A company wants to implement a CI/CD pipeline in GCP for a polyglot application (Java, Node.js, and
  Python). The pipeline must include automated testing, code quality analysis, and deployment to a
  serverless environment. Which GCP service or services should be utilized for this?
• You are tasked with designing a disaster recovery strategy for an application running on GCP. The
  application uses Cloud Spanner, Cloud Pub/Sub, and App Engine. What should be your primary focus to
  ensure minimal downtime in case of a regional failure?
• You are developing a machine learning model on GCP and need to ensure model interpretability. What
  combination of services would be most appropriate?
• An e-commerce company wants to ensure high availability and redundancy for their web application on
  GCP. Which GCP service or feature should they leverage to distribute incoming traffic across multiple
  regions and zones?
• Your company needs to set up a real-time data analytics pipeline on GCP. You want to ingest data from
  various sources, perform streaming analytics, and store results in a scalable, managed data warehouse.
  Which GCP services should you use to build this pipeline?
• Your company is running a data-intensive workload on GCP, and you need a scalable, serverless data
  warehousing solution. Which GCP service should you choose to efficiently analyze large datasets and gain
  insights?
• Your company is running a data-intensive workload on GCP, and you need a scalable, serverless data
  warehousing solution. Which GCP service should you choose to efficiently analyze large datasets and gain
  insights?
• Your company is running a data-intensive workload on GCP, and you need a scalable, serverless data
  warehousing solution. Which GCP service should you choose to efficiently analyze large datasets and gain
  insights?
• Your organization needs to process and analyze large volumes of log data efficiently, and you want to
  leverage Google Cloud services for this purpose. Which Google Cloud service can you use to collect,
  analyze, and gain insights from log data?
• Your team is working on a machine learning project that requires distributed training of deep learning
  models on large datasets. Which Google Cloud service can you use to efficiently manage and distribute
  the training workload, following best practices for machine learning workloads?
• Your organization is planning to host a public-facing website on Google Cloud. The website needs to
  handle sudden traffic spikes effectively and ensure high availability. What Google Cloud service should
  you use to distribute incoming traffic across multiple instances or regions, improving the website's
  performance and reliability?
• Your organization is planning to host a public-facing website on Google Cloud. The website needs to
  handle sudden traffic spikes effectively and ensure high availability. What Google Cloud service should
  you use to distribute incoming traffic across multiple instances or regions, improving the website's
  performance and reliability?
• Your organization is working on a data analytics project that involves processing large volumes of
  structured data from various sources. You want to use Google Cloud services to build a scalable and
  cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
  transformation, and loading (ETL) in this project?
• Select the main steps of the migration process in the correct order.
• A healthcare company collects Personally Identifiable Information (PII) and they want to run a highly
  secure environment in Google Cloud. They want to use Virtual machines to run workloads. What should
  you advise them?
• To model different legal entities, departments, and teams within a company in Google Cloud resource
  hierarchy, you can use ...
• You are tasked to create a CI/CD pipeline that includes automated testing and deployment to Google
  Kubernetes Engine. Which services and configurations would be best suited for this?
• A media company is using GCP for their real-time and batch data processing needs. They are currently
  using Pub/Sub for real-time data ingestion. Which service should they use for batch data ingestion and
  why?
• You're designing a data lake solution in GCP and have to ingest structured, semi-structured, and
  unstructured data. Which services should you use to build a scalable and flexible data lake?
• For your real-time data analytics application, you want to ingest, process, and analyze data streams. Which
  combination of GCP services should you choose?
• You are experiencing intermittent connectivity issues between your GKE pods and an external API. What
  GCP service would help you debug this issue?
• A Managed Instance Group is configured to auto-scale based on Cloud Monitoring metrics. However,
  instances are not scaling as expected. What could be the reason? (Select 2)
• Your team is planning to migrate an existing stateless application to App Engine. The application makes
  extensive API calls and processes large data streams. You need to decide between App Engine Standard
  and App Engine Flexible. What factors should you consider? (Select 2)
• You need to integrate a third-party SaaS solution with your GCP-based data pipeline for a BigQuery
  project. You want to ensure data integrity and secure data transition. Which of the following would you
  recommend?
• Your application is experiencing high latency during the data write operations to a Cloud Spanner instance.
  Which of the following would be a recommended approach to diagnose and possibly alleviate this issue?
• For an upcoming project, you need to ensure data residency compliance in specific geographical
  locations. How can you best configure Google Cloud services to meet this requirement?
• For a mission-critical application that utilizes BigQuery for analytics, what would be the best practice to
  ensure high availability and data durability?
• You need to set up a CI/CD pipeline for a project stored in GitHub. The project uses a mixture of both
  Google Cloud services and AWS services. You want to deploy updates automatically when new commits
  are pushed to the main branch. Which Google Cloud service would you use?
• You have a multi-regional GKE application and want to optimize latency for users around the globe.
  However, you're concerned about costs and don't want to over-provision resources. What should you use
  to balance the load and manage resources efficiently?
• You have a set of encryption keys that you manage in Cloud KMS. You're concerned about the possibility
  of the keys being deleted, either accidentally or maliciously. What feature should you enable to protect
  against this?
• Your application writes sensitive logs to Cloud Logging. You want to mask sensitive data in the logs before
  they are stored. What is the most effective way to do this in GCP?
• You are designing a data lake architecture in GCP for a healthcare provider. The data lake will store patient
  records, medical images, and IoT data from medical equipment. The healthcare provider is also interested
  in running machine learning models on this data. What is the most suitable GCP service for this data lake?
• An e-commerce company wants to leverage machine learning to predict customer behavior and improve
  sales. The company already has historical customer data and transaction logs in BigQuery. They need to
  build, deploy, and scale ML models with minimal effort. What GCP service should they utilize?
• You have been tasked with optimizing a legacy monolithic application running on a VM for cost. The
  application experiences variable traffic and is essential only during office hours. What should you do to
  optimize costs without refactoring the application?
• As part of your organization's security requirements, you must implement a system where all
  administrative accesses to Google Kubernetes Engine (GKE) must go through an approval workflow. How
  should you implement this?
• Your application requires you to store large amounts of semi-structured data. While the read operations
  are frequent, write operations are infrequent. Cost optimization is a major factor for your team. Which
  NoSQL database offering on GCP best suits your needs?
• As a Cloud Architect, you have to ensure that your applications deployed on GCP are compliant with
  regulatory requirements like GDPR. Which of the following services would you use to automatically
  discover, classify, and protect sensitive data across GCP Services?
• You're planning to deploy a stateful application that requires persistent disk storage with high IOPS. You
  also need the flexibility to resize the disk without downtime. Which type of GCP Persistent Disk should you
  recommend?
• Your client needs to analyze streaming data for real-time business intelligence. The solution should also
  integrate seamlessly with existing BigQuery datasets for combined analytics. Which GCP service will you
  recommend for streaming data?
• You need to design a globally distributed system that can handle millions of read and write operations per
  second, and you also need strong consistency. Which GCP database service is suitable for this?
• A media company is looking to set up a video-on-demand streaming service on GCP. The media files need
  to be accessible globally, with minimal latency. What would be the most appropriate storage solution for
  storing the media files?
• Your healthcare application must store HIPAA-compliant data. Which combination of GCP services would
  be most appropriate?
• You are tasked with setting up a high-throughput data pipeline that ingests data from IoT devices. The
  pipeline should also enable real-time analytics. Which set of GCP services would you recommend?
• You are responsible for setting up a multi-region, disaster-recovery environment for a mission-critical
  application. What is the best combination of GCP services and features to achieve this?
• Your application has stringent data residency requirements. What should be taken into consideration when
  selecting GCP services? (Select 2)
• For estimating the costs of a new application in App Engine, what should be your approach?
• A global media company has large datasets stored in GCP Cloud Storage. They need to run periodic data
  transformations using Dataflow. However, they also want to minimize costs. Which combination of storage
  classes and Dataflow configurations should they use?
• You have to set up a real-time data analytics pipeline that captures event data, transforms it, and stores it
  for query-heavy operations. The solution must also integrate with an existing Hadoop cluster. What
  combination of GCP services would suit this best?
• Your organization requires automated canary deployments in a multi-tenant GKE cluster where each team
  has its own namespace. What is the best way to manage this process securely and efficiently?
• You need to ensure idempotent deployments of your infrastructure in GCP. Which service allows you to
  declaratively define your infrastructure and automatically handle dependencies, ensuring that resources
  are created or modified in the correct order?
• You want to be alerted whenever the cost of Cloud Spanner operations in your GCP project exceeds a
  certain threshold within a 24-hour window. What's the most efficient way to do this?
• You're running a stateful application within a Managed Instance Group. You want to replace instances but
  keep the attached disks and IPs. What should you do?
• You have a GKE cluster running with Confidential VMs to handle sensitive workloads. How would you
  ensure that the Kubernetes agent also maintains the confidentiality of sensitive data?
• You want to deploy a machine learning model in a GKE cluster. The model needs to be updated daily with
  minimal service disruption. What GKE feature should you use to accomplish this?
• You are migrating a monolithic application to a set of microservices running on GKE. One of the
  challenges is managing multiple databases in the most efficient way. You are considering using Cloud
  SQL. What should you keep in mind for the most efficient utilization?
• You have to architect an internal-only financial trading platform that requires low-latency and
  high-throughput data analytics. You also have a requirement to integrate with BigQuery for real-time
  analytics and Cloud Storage for historical data. Which GCP services and configurations would you choose
  for internal routing and analytics processing in this case?
• Your organization has data pipelines that require both batch and stream processing. The pipelines should
  be capable of integrating with machine learning models for predictive analytics. Which combination of
  GCP services should be used to design a scalable and flexible data pipeline?
• A media company needs to transcode video files that are uploaded by users. The company wants to use
  GCP for this task. The system should be able to scale based on the number of files uploaded, and it also
  needs to integrate with an existing machine learning model for content moderation. Which combination of
  GCP services should be used?
• Your organization wants to adopt the practice of infrastructure as code. You need to assign roles to a
  DevOps team so they can manage both Compute Engine VM instances and Cloud Deployment Manager
  deployments. What is the best combination of roles for this purpose?
• A media company is looking to build a secure, reliable, and scalable video-on-demand service. Which
  combination of GCP services should be considered for storing large video files and distributing them
  globally?
• You need to create a backup solution that not only stores database backups but also allows for quick
  restores and has built-in versioning. What GCP services will allow you to achieve this?
• You are responsible for setting up a DevOps pipeline in GCP for a microservices architecture. What
  combination of tools would be the most efficient for this task?
• Your organization has a requirement to keep audit logs for all data accesses and modifications for
  compliance purposes. This is across multiple GCP services like Cloud Storage, BigQuery, and Compute
  Engine. What would be the best approach to meet this requirement?
• A multinational company is looking to expand its operations and needs to connect its different
  geographical locations to its VPC in GCP. What are the considerations for using Cloud Interconnect in this
  scenario?
• You're tasked with storing millions of files that will be frequently accessed by Cloud Functions. What
  storage architecture should you use?
• You need to migrate an existing application to GCP. The application has a message queue and a SQL
  database. How should you approach this migration to ensure minimal downtime?
• You are developing a fraud detection system that requires real-time analysis and you need to maintain the
  order of events. Which GCP service should you use?
• Which of the following GCP services can be used to programmatically interact with the resource hierarchy,
  including creating and managing Google Cloud projects?
• Which GCP service would you recommend for a globally distributed, high-volume OLAP workload?
• You are responsible for ensuring high availability for a critical application running in a GKE cluster spread
  across multiple zones. Which of the following should you consider for managing the control plane?
• You want to build a CI/CD pipeline in GCP that builds Docker images, deploys them to GKE, and also uses
  Secrets for sensitive information. Which services should you use to fulfill all these requirements in a GCP
  idiomatic way?
• You need to run a VM that is compliant with regulatory requirements like GDPR and HIPAA. Which type of
  VM should you use?
• You've been asked to implement a solution to analyze historical data as well as real-time data. Which
  BigQuery features can be used to effectively analyze both types of data? (select 2)
• A financial organization needs to set up a secure, low-latency API gateway that can handle high levels of
  traffic and integrate with existing microservices. Which GCP services should you recommend for meeting
  these requirements?
• Your organization wishes to set up a geographically distributed database that supports horizontal scaling
  and strong consistency. Which database service should you recommend?
• You need to monitor, troubleshoot, and improve application performance in a complex microservices
  architecture. Which GCP service should you primarily consider for distributed tracing and monitoring?
• As part of your organization's move to Google Cloud, you are responsible for choosing the correct
  compute option for different workloads. Which compute option would be best suited for stateful
  applications?
• A financial institution wants to securely store sensitive customer data while still being able to perform
  analytics on the data. What GCP service should be considered?
• For a Machine Learning project, you want to run your TensorFlow models with minimal operational
  overhead and automatic resource provisioning. The model should also be able to serve real-time
  predictions. Which GCP service should you use?
• Your Compute Engine instances run critical batch jobs at the end of each month. You want to ensure that
  there is no preventive maintenance or any other activity that could cause downtime during these jobs.
  What feature should you enable?
• You need to set up a CI/CD pipeline for a multi-cloud environment, and the code repository is on GitHub.
  What combination of GCP services and tools would be the best fit for setting up this CI/CD pipeline?
• You have multiple services running in a GKE cluster, and you want to securely manage API calls between
  these services. What combination of GCP services and features should you use?
• You have sensitive data stored in Google Cloud Storage and want to enable additional layers of access
  control beyond basic IAM. Which feature should you use?
• Your organization wants to perform sentiment analysis on customer feedback data. This data is in multiple
  languages and is stored in various formats. What GCP service should you use to ingest, transform, and
  analyze this data effectively?
• As a Cloud Architect, you have been asked to implement a robust backup strategy for an application's data
  stored in Google Cloud Storage. You are required to ensure that the data is geographically isolated and
  can withstand the loss of an entire region. What would be the best configuration?
• Your company is globally distributed, and you need a globally available database with strong consistency.
  Additionally, you have a requirement for granular IAM permissions at the database level. Which GCP
  service would you recommend?
• As a Cloud Architect, you are tasked with migrating a monolithic application to GCP and breaking it down
  into microservices. Which combination of GCP services and tools would you use for effective migration
  and transformation?
• You want to build a robust data lake that integrates well with various data science and analytics tools. You
  also need to enforce fine-grained access control. Which GCP service should you choose?
• You are responsible for ensuring high availability and disaster recovery for an application running on GCP.
  The application's backend is heavily reliant on a NoSQL database. What would be your recommendations
  for achieving these requirements?
• Your organization is developing a machine learning model that requires data preprocessing. The raw data
  is stored in BigQuery, and the organization wants to use TensorFlow for ML. Which GCP services should
  be used for the preprocessing and ML tasks?
• Your team wants to utilize GCP for real-time analytics and machine learning on a data stream that includes
  video and text. Which set of GCP services would you use to ingest, process, analyze, and apply machine
  learning models to this heterogeneous data?
• You want to implement a real-time analytics dashboard for monitoring IoT device data. The solution must
  be fully managed and scale automatically. What would you use?
• You are tasked with setting up a disaster recovery strategy for a mission-critical application. The RTO is 4
  hours, and RPO is 15 minutes. Which GCP service is most suited for this?
• Your organization is planning to host a global event and expects a significant spike in web traffic. Which
  GCP service can automatically adjust the number of VM instances based on HTTP load, including SSL
  offloading?
• You need to set up a highly available and fault-tolerant architecture for a mission-critical application. You
  decide to use Compute Engine instances in multiple regions. How would you manage the traffic routing for
  optimal latency?
• A team in your organization wants to analyze vast amounts of raw data stored in Google Cloud Storage
  with SQL queries. They need results quickly and wish to avoid the operational overhead of managing a
  database. Which service should you recommend?
• You are tasked to provide a solution for storing and analyzing petabytes of historical financial transaction
  data. The data needs to be queried using SQL, and the solution should be serverless. What GCP service
  would you recommend?
• In a GCP Dataflow job, you notice that a specific ParDo operation is taking a considerable amount of time,
  causing a bottleneck. Which strategy could effectively alleviate this issue?
• As a cloud architect, you have to secure access to Cloud Storage buckets. The client demands that only
  devices enrolled in their Endpoint Management solution should have access. What should you do?
• You are architecting a cloud solution for a financial firm where the application should be able to handle
  thousands of financial transactions per second with single-digit millisecond latency. Which GCP database
  service would be most suitable for this requirement?
• You are designing a cloud-native application that needs to execute batch processing jobs which could run
  for several hours. These jobs must be fault-tolerant and recover gracefully from failures. What is the most
  suitable GCP service to use for these batch processing jobs?
• Your company is developing a serverless application that triggers based on events in Google Cloud
  Storage. The application should be able to handle thousands of events per second and has a variable load.
  Which service would be the most appropriate to use?
• You need to build a service to extract text from millions of images stored in Google Cloud Storage. The
  extracted text will be analyzed for sentiment and stored in BigQuery for further analysis. What combination
  of GCP services would accomplish this in the most efficient manner?
• You are in charge of deploying a globally distributed, stateful application that needs strong consistency
  and automatic failover. Which GCP service can be best utilized to meet these requirements?
• You need to transfer large datasets from an on-premises data center to Google Cloud. The transfer should
  be secure, resilient, and fast. Which service would you recommend?
• Your organization has strict data residency requirements and wants to employ GCP services for storing
  sensitive information. Which combination would best suit the need?
• A machine learning startup needs to build and deploy custom machine learning models on GCP. They
  require a managed service that supports both training and inference. Which GCP service should they
  choose?
• Your organization is running a machine learning workload on GCP and needs a service for scalable
  training and deployment of models. Additionally, you require built-in support for TensorFlow and PyTorch.
  Which GCP service should you choose?
• Your team is building a microservices-based application on GCP, and you need to implement
  service-to-service communication securely and efficiently. What GCP service can you use to manage this
  communication while following best practices?
• Your team is building a microservices-based application on GCP, and you need to implement
  service-to-service communication securely and efficiently. What GCP service can you use to manage this
  communication while following best practices?
• Your team is building a microservices-based application on GCP, and you need to implement
  service-to-service communication efficiently. What GCP service can you use to manage this
  communication while following best practices?
• Your company is planning to migrate its on-premises data center to Google Cloud. The company has a
  requirement for a fully managed file storage service that can be used by multiple virtual machines. Which
  Google Cloud storage service should you recommend for this scenario?
• Your organization needs to ensure data durability and long-term storage of critical business documents in
  Google Cloud. Which Google Cloud storage service is designed for long-term archival storage and is
  cost-effective for this purpose?
• Your organization is working on a data analytics project that involves processing large volumes of
  structured data from various sources. You want to use Google Cloud services to build a scalable and
  cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
  transformation, and loading (ETL) in this project?
• Your team is developing a web application that needs to provide real-time chat functionality. You want to
  leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
  way. What Google Cloud service should you use for this purpose?
• Your organization is working on a data analytics project that involves processing large volumes of
  structured data from various sources. You want to use Google Cloud services to build a scalable and
  cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
  transformation, and loading (ETL) in this project?
• Your organization is working on a data analytics project that involves processing large volumes of
  structured data from various sources. You want to use Google Cloud services to build a scalable and
  cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
  transformation, and loading (ETL) in this project?
• An online marketing company wants to migrate a local data warehouse to GCP. They want to use a
  managed cloud solution. As a Cloud Architect, you advise them on which service they should use. What
  do you recommend?
• Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
  run critical workloads and need to maintain their existing IP addresses during migration. What Google
  Cloud feature should you use to achieve this goal?
• A company wants to implement fine-grained access control and permissions management for its Google
  Cloud resources. They need to assign specific permissions to users based on their roles within the
  organization. What Google Cloud service should they use to achieve this?
• Your application has a global user base, and you need to minimize latency. What should you implement?
• Your organization wants to implement a zero-trust security model on GCP. What combination of services
  should you configure to meet this requirement?
• Your application utilizes Cloud Spanner for its database needs. You want to optimize costs while
  maintaining high availability. Which configuration would best meet these needs?
• You want to implement an auto-scaling, fault-tolerant microservices architecture. You also need to collect
  logs and metrics. What combination of GCP services would you choose?
• Your GKE cluster is running multiple microservices. You want to trace the latency of incoming HTTP
  requests. Which service should you use?
• You want to ensure that instances in your Managed Instance Group are evenly distributed across multiple
  zones in the same region for high availability. What should you configure?
• A business-critical application deployed on App Engine Flexible environment experiences high latency
  during peak hours. You've been tasked with optimizing the application. Which of the following App Engine
  capabilities would you leverage to minimize latency? (Select 2)
• Your organization is using Cloud Spanner for its transactional data. You want to ensure that you have the
  highest possible read and write throughput. What should you consider optimizing? (Choose 2)
• You are implementing a data analytics pipeline in GCP. The incoming data is both batch and real-time.
  Which combination of GCP services should you use to ingest, process, and analyze this data efficiently?
• You're designing a Data Lake on GCP to store both structured and unstructured data. This Data Lake will
  be used for both streaming analytics and machine learning. Which storage solution would be best suited
  for this requirement?
• You have an application running on GKE that needs to securely access a Redis instance. What would be
  the best way to securely connect to the Redis instance while ensuring low latency?
• Your company processes high volumes of streaming data. You need to perform real-time analytics and
  then store the data for further analysis. The solution should be fully managed and able to scale
  automatically. Which combination of Google Cloud services would best meet these requirements?
• Your organization has multiple projects on GCP, and you want to ensure consistent policy enforcement
  across all the GKE clusters in these projects. What should you use to centrally manage policies?
• You're using BigQuery, and you want to ensure that data loaded into it is encrypted. What encryption
  methods are available for data loaded into BigQuery? (Select 2)
• You are responsible for ensuring that all VM instances spun up in your project are compliant with your
  organization's security baseline. What is the best approach to automate this verification?
• A game development company is looking to build a globally distributed multiplayer online game. They
  need a real-time database that allows for easy and fast querying, supports complex hierarchical data
  models, and is scalable. Which GCP service would you recommend?
• You are tasked with setting up a high-availability, disaster-recovery solution for a globally distributed
  application. This application has strict latency requirements and needs to comply with data sovereignty
  laws in various countries. Which of the following GCP services will help you in this context?
• Your organization is migrating a data-intensive workload to GCP. You need to move several petabytes of
  data, and you want the transfer to be as fast as possible. Which service should you use?
• Your application uses Cloud Functions to process images uploaded to Cloud Storage. You've observed
  that as the volume of uploads increases, your Cloud Functions are timing out. What should you do to fix
  the issue?
• Your company has a requirement to maintain the state of infrastructure so that it can be easily replicated
  across different environments. Your team is already familiar with Terraform. Which GCP service will help
  you meet this requirement most effectively?
• You're managing a large-scale IoT application on Google Cloud. The application should ingest data from
  millions of IoT devices and perform real-time analytics. Which combination of services should you use for
  the most efficient real-time analytics?
• You're designing a system to store large volumes of unstructured data where cost-efficiency, durability,
  and high availability are primary concerns. The solution must also support different storage classes for
  archiving. Which GCP service should you recommend?
• A financial services company wants to build a highly available application that needs strict global
  consistency for transactions. Which GCP database service would you recommend?
• Your organization is developing a mobile app and requires a database that offers offline sync capability
  and real-time updates. Which GCP database service would you recommend?
• Your team is developing a data analytics platform in GCP. The team needs to ensure real-time analytics and
  long-term storage of data that will come from various sources. What is the most cost-effective storage
  solution for this use case?
• To minimize costs for sporadic, large data uploads from an on-premises data center to GCP, which service
  would be most effective?
• A multi-tier application needs to be migrated to GCP. The frontend is stateless but the backend is stateful.
  What is the most cost-effective combination of services to achieve this?
• You are tasked with building a data pipeline that ingests data from multiple sources including databases
  and IoT devices. The data must be processed in real-time and be highly available. What combination of
  GCP services should you recommend?
• Your organization wants to enforce fine-grained IAM policies for accessing various GCP services. What
  should you consider? (Select 3)
• You have a multi-regional storage bucket storing PII (Personally Identifiable Information). Your compliance
  team mandates the recording of all operations on this bucket. What would be your approach?
• A healthcare application storing sensitive data needs to implement a disaster recovery strategy that
  ensures data integrity and availability with RPO < 1 hour and RTO < 4 hours. Which GCP services should
  you recommend to meet these objectives?
• Your organization has a multi-tier web application that is composed of web servers, application servers,
  and a relational database. The application must be resilient to regional failures. Which GCP architectural
  approach should be taken?
• When using Istio in a GKE cluster, which of the following can be achieved to manage traffic routing for a
  set of microservices that span multiple namespaces?
• A company wants to use Infrastructure as Code (IaC. to automate firewall rule deployments and integrate
  this with a CI/CD pipeline for automatic testing and deployment. What combination of tools/services would
  you recommend?
• Your team is managing a GCP project that uses a mix of Compute Engine, Cloud Storage, and BigQuery.
  You want to get daily granular reports on the costs for each service. What should you do?
• Your application has a strict compliance requirement that prohibits public IP addresses for any instances.
  How would you enforce this for all instances in a Managed Instance Group?
• You are running a GKE cluster with both Linux and Windows node pools. You want to ensure that Linux
  workloads are not scheduled on Windows nodes. What should you do?
• You have a multi-regional GKE cluster, and you need to deploy a stateful application that requires
  low-latency access to data from any region. What is the most suitable database service to use on GCP?
• Your application deployed in GKE has started experiencing latency issues. You have identified the need to
  add a caching layer. What is the most cost-effective yet high-performance caching solution that also
  supports data eviction policies?
• Your organization is building a multi-region, content-rich web application. The requirement is to route
  HTTP/HTTPS traffic based on content and the geographical location of the client. Additionally, you need to
  mitigate DDoS attacks. What GCP services should you combine to accomplish this?
• You have to deploy a fault-tolerant, multi-tier web application that includes a front-end, an API layer, and a
  back-end database. The organization also has stringent data encryption requirements. Which combination
  of GCP services would you recommend for a secure, fault-tolerant architecture?
• Your organization has a containerized application that requires granular control over networking policies,
  as well as integration with a private Docker registry. Which GCP service would be most appropriate, and
  what additional service would you use for the private Docker registry?
• You're designing an application that will be deployed in GCP. You want to follow the principle of least
  privilege while also allowing a DevOps team to manage Compute Engine instances. Which role should be
  assigned?
• A company has a legacy application running on virtual machines (VMs) in its on-premises data center. The
  company wants to lift and shift this application to Google Cloud with minimal changes. Which GCP service
  would you recommend for this use case?
• Your organization wants to develop a robust CI/CD pipeline that includes building Docker images, running
  automated tests, and deploying to a container orchestration service. Which combination of GCP services
  will best serve these needs?
• For a newly deployed web application, you need to automatically scale resources based on HTTP load and
  minimize latency for global users. Which services would you leverage?
• A multi-tier application is deployed across multiple GCP projects for segregation of duties. The database
  layer resides in a private project. How do you securely expose this database to applications in other
  projects?
• Your application deployed in GCP needs to connect to an on-premises data center for data
  synchronization. The organization prioritizes data privacy and does not want the traffic to pass through the
  public internet. What option would best suit this requirement?
• You have to design a disaster recovery plan for an application running on GCE and using Cloud Spanner.
  What is the most effective way to minimize RTO and RPO?
• Your application has a global audience and needs to deliver large media files with the lowest latency. What
  GCP services should you leverage?
• You need to build a serverless, event-driven architecture for processing image uploads in your application.
  Which GCP services should you use?
• You are using GCP services across multiple projects. You want to ensure that only the security team can
  modify VPC settings. Where should you set this IAM policy for maximum efficiency and control?
• You are designing a hybrid cloud architecture that requires high availability. Which pair of services would
  be ideal for implementing a reliable messaging queue and a hybrid identity solution?
• You want to deploy a stateful application on GKE that requires both read and write access to a persistent
  disk. What is the recommended storage solution to meet this requirement?
• You have multiple services that need to access a common configuration. The configuration should be
  centralized, and changes should be propagated in real-time. What GCP service would you use?
• You want to implement live migration for your VM instances to achieve higher availability. Which of the
  following VM types support live migration in GCP?
• You need to perform real-time analytics on streaming data using BigQuery. Which of the following options
  would you consider for this requirement?
• Your company wants to develop a machine learning model that predicts equipment failures based on
  historical and real-time data. What combination of GCP services would be most appropriate for gathering
  data, training the model, and serving predictions?
• You need to design a reliable messaging system between various microservices that are part of a larger
  e-commerce application. The system should be able to handle massive spikes in load. What service should
  you employ?
• You are asked to implement a highly available, fault-tolerant storage solution that can also serve as a
  NoSQL database for a mobile application. Which GCP product should you use?
• You want to stream data from various IoT devices to Google Cloud for real-time analytics. Which
  combination of GCP services would best serve this requirement?
• You are designing a multi-tenant application where tenant data must be isolated. Which GCP database
  solution allows you to implement row-level security?
• You are tasked to design a globally distributed, low-latency database system that also supports SQL-like
  queries for an application. Which GCP database service would you use, and what would you enable to
  meet the low-latency requirement?
• Your application runs on Compute Engine instances and requires extremely low-latency access to your
  data. The data should also be durable and easily accessible from any instance. Which GCP storage option
  would you recommend?
• Your company is planning to deploy a new microservices-based application on GCP. The developers prefer
  using a managed Kubernetes service for this. Which GCP service would you recommend, and what
  features should you leverage for cost optimization and automated operations?
• Which of the following is not a feature of Google's Cloud Armor?
• For a real-time analytics application that consumes streaming data, which GCP service would be best
  suited for ingesting and processing large volumes of events per second?
• A media company has its video content spread across various GCP storage solutions. They are looking for
  a highly available, low-latency solution to serve video to global audiences. Which GCP service would be
  most appropriate?
• A global retail company wants to migrate its legacy databases to Google Cloud. The databases consist of
  sales data, inventory, and customer profiles. The company wants a service that can automatically handle
  sharding and is globally distributed for high availability. Which Google Cloud service should they use?
• You need to set up a data pipeline that can handle both batch and real-time data, offering both streaming
  and batch processing capabilities. The pipeline should also be able to write data to BigQuery. What's the
  best GCP service to use for this purpose?
• You need to set up a highly available, globally distributed database that supports ACID transactions for an
  e-commerce application. Which GCP service should you use?
• Your company is developing a video streaming service. You need to transcode video files into multiple
  formats and resolutions. Which GCP service would be best suited for this task?
• You have been assigned to optimize an existing data pipeline. The pipeline ingests data from various
  sources into a centralized repository. You must ensure high availability and low latency. What set of GCP
  Services would best meet these needs?
• You're designing a real-time analytics solution for an IoT application that expects high volumes of
  incoming data. Which GCP services should be used for data ingestion and storage to ensure scalability
  and low latency?
• You are architecting a CI/CD pipeline that deploys applications into a Kubernetes cluster on GCP. The
  pipeline should perform automated testing and only deploy if the tests pass. Which combination of GCP
  services should you use?
• Your company has a requirement to archive data for compliance, with retrieval times less than a few hours.
  Which GCP storage solution should you choose?
• You need to ensure that your deployed microservices in a GKE cluster are only accessible via HTTPS.
  Which feature should you implement?
• For an e-commerce application, you have to implement a caching mechanism to reduce database load.
  Which GCP service would you use for caching, considering the data to be cached is key-value pairs and
  should be globally distributed?
• Your company's Data Science team has been using a custom Apache Beam pipeline for stream
  processing. They now want to migrate this to a managed GCP service without modifying the code. Which
  service should you recommend?
• You're working on a financial application that requires extremely low-latency data retrieval. Which Google
  Cloud storage option would be most appropriate for this kind of workload?
• Your organization is deploying a multi-tier web application on GCP. You need to ensure that only
  authorized internal users can access the application's admin panel. Which GCP service would you utilize
  for this purpose?
• You need to implement a secure and automated way for your on-premises applications to access Google
  Cloud resources. Which GCP service allows you to realize this?
• You need to design a solution for running a set of Docker containers that should be auto-scaled and
  load-balanced. Which GCP service would you use to manage this requirement with minimal operational
  overhead?
• For a newly developed serverless application, you are looking to integrate a fully managed NoSQL
  database service that provides seamless scaling and global replication. Which GCP service should you
  choose?
• A multinational company wants to deploy a low-latency, high-throughput data processing solution that
  synchronizes data across their global branches. They also have strict regulatory requirements for data
  locality. What's the most suitable GCP service?
• Your organization's application uses a variety of GCP services and is deployed across multiple regions.
  You are required to set up a unified logging and monitoring solution. Which of the following approaches
  will meet this requirement?
• You're designing a large-scale data processing pipeline in GCP. You have streaming data that must be
  analyzed in real-time, and you also have large batch datasets. You're looking for a unified programming
  model for both cases. What GCP service would be the most appropriate for this?
• Your organization requires a real-time analytics solution that can ingest data streams from various sources
  like IoT devices and mobile apps. The solution should be able to scale automatically and support SQL-like
  queries for analytics. Which GCP service should you recommend?
• Your company has an application running on App Engine. They want to integrate machine learning models
  and require minimal code changes. They also want the ability to version these models. Which service
  would you recommend?
• Your application requires a NoSQL database that can automatically scale, and you also need ACID
  transactions support. What is the most appropriate GCP service?
• A financial institution requires a secure and compliant way to archive financial transaction data on GCP.
  Which GCP service provides a cost-effective and compliant solution for long-term data retention?
• You want to deploy a highly available web application on GCP with automatic scaling based on traffic.
  Additionally, you need to configure custom health checks and implement authentication and authorization.
  Which GCP services should you use to achieve these requirements?
• Your organization has multiple GCP projects, and you need to securely share resources, such as storage
  buckets, across these projects. What is the recommended approach for achieving this?
• Your company is developing a web application that requires real-time messaging and event-driven
  functionality. Which Google Cloud service can you leverage to build scalable, event-driven applications
  following best practices?
• Your team is developing a web application that needs to provide real-time chat functionality. You want to
  leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
  way. What Google Cloud service should you use for this purpose?
• Your team is developing a web application that needs to provide real-time chat functionality. You want to
  leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
  way. What Google Cloud service should you use for this purpose?
• Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
  run critical workloads and need to maintain their existing IP addresses during migration. What Google
  Cloud feature should you use to achieve this goal?
• Your team is developing a web application that needs to provide real-time chat functionality. You want to
  leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
  way. What Google Cloud service should you use for this purpose?
• Your team is developing a web application that needs to provide real-time chat functionality. You want to
  leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
  way. What Google Cloud service should you use for this purpose?
• As a Cloud Engineer, you set up the optimal combination of CPU and memory resources for nodes in a
  Kubernetes cluster. You want to be notified whenever CPU utilization exceeds 80% for 5 minutes or when
  memory utilization exceeds 90% for 1 minute. What do you need to do to receive such notifications?
• You are responsible for managing a Google Kubernetes Engine (GKE) cluster that hosts multiple
  microservices. You want to ensure that each microservice can securely access other Google Cloud
  services, such as Cloud Storage and BigQuery. What should you configure to enable this access while
  following Google's best practices?
• Your team is building a high-availability application that requires data synchronization between multiple
  Google Cloud regions. What Google Cloud service can you use to achieve low-latency data replication and
  synchronization across regions?
• You need to store sensitive customer data in compliance with stringent regulations. Which GCP service
  and configurations would you choose?
• You are tasked with ensuring data resiliency for a critical stateful application deployed on GKE. Which
  storage and backup options will you use?
• You are tasked with automating infrastructure as code in a GCP project. You want a service that integrates
  seamlessly with GCP services and has native GCP support. Which service should you choose?
• You are designing a serverless application using Cloud Functions, and you want to implement CI/CD.
  What's the best way to build and deploy these functions?
• How can you secure containerized applications in GKE against known vulnerabilities?
• You need to set up a managed instance group with VM instances in multiple regions. What additional GCP
  component should you consider for this requirement?
• Your organization is using App Engine Flexible to host multiple services. You want to route incoming
  traffic to different services based on URL paths. What GCP component should you utilize?
• You are designing a Cloud Pub/Sub architecture for real-time event processing. You want to ensure
  ordered delivery of messages. Which of the following approaches would you recommend?
• For data archival, you are considering using Cloud Storage. Which storage class would you recommend
  for long-term archival of rarely accessed data?
• Your team is deploying a globally distributed, latency-sensitive microservices application on GCP. Which
  combination of GCP services would best address the requirements of low-latency and global distribution?
• Your organization has multiple departments, each requiring distinct permissions and resources on Google
  Cloud. What is the most effective way to isolate resources while still allowing some shared access where
  needed?
• Your organization needs to set up a hybrid cloud for an application that requires both on-premises and
  cloud resources. Compliance requires that certain data must not leave the physical location. Which Google
  Cloud Services should you use to achieve this hybrid architecture?
• You're using Istio on GKE to manage a microservices application. You need to enforce a policy where only
  authorized services can communicate with each other within the cluster. What Istio feature should you
  use?
• Your organization wants to encrypt application-level data before sending it to Cloud Storage. Which of the
  following methods should you use for the highest level of security, assuming you want to manage the
  encryption keys yourself?
• You want to ensure that no sensitive information is being stored in any of your Cloud Storage buckets.
  Which GCP service would you use to periodically scan your buckets to check for compliance?
• An e-commerce company has hybrid workloads running on-premises and Google Cloud. They want to
  implement a centralized identity management system that integrates with their existing LDAP. Which GCP
  service would you recommend for this?
• You're responsible for setting up a CI/CD pipeline for a new project. You also need to ensure traceability for
  compliance requirements. The application is hosted on GKE and utilizes multiple microservices. Which
  GCP services would best serve these needs?
• You are designing a multi-region disaster recovery strategy for your stateful application deployed on GKE.
  The RPO and RTO metrics are stringent. What combination of GCP services and features would you
  recommend?
• You're tasked with designing a solution for a global e-commerce company that has high variations in
  traffic. They want to optimize costs without sacrificing performance. They use a mix of managed VMs and
  containers. What should you use for autoscaling?
• You are designing a data ingestion pipeline that must accommodate a variety of data formats including
  Avro, Parquet, and JSON. The pipeline must also perform transformations such as filtering and
  aggregation. Which GCP service should you use?
• You're designing a CI/CD pipeline in Google Cloud that requires ephemeral environments for testing each
  build. What approach would be best for dynamically provisioning and de-provisioning these
  environments?
• Your organization requires real-time analytics on streaming data. The data needs to be ingested,
  processed, and analyzed with low latency. You also require integrated windowing and watermarking
  capabilities. Which Google Cloud service best fits these requirements?
• You are designing a data lake architecture where the requirement is to ingest and store both structured
  and unstructured data at scale. Which GCP service would you recommend for long-term storage of this
  data?
• You have a real-time analytics application that needs to process data from various streaming sources and
  later query it. Which combination of GCP services should you use for data ingestion, processing, and
  querying?
• You are tasked with improving the logging capabilities of a multi-tenant SaaS application. This application
  requires a granular view of logs for debugging, monitoring, and auditing. Which GCP service should you
  use?
• For regulatory compliance, you need an audit trail for GCP resource access and the ability to analyze these
  logs. What combination of services would you use?
• A healthcare application requires a robust messaging system for real-time status updates. The system
  must also store historical changes for audit purposes. What would be your recommendation?
• Your company wants to implement a CI/CD pipeline that involves containerization, source code scanning,
  and automated deployments. What combination of GCP services and features should you consider?
• Regarding CI/CD in GCP, which of the following statements are true? (Select all that apply)
• You want to receive a message on your mobile device each time your Database Administrator logs into a
  Firebase database, while minimizing effort. What GCP service will best achieve this?
• Your team has to implement a real-time analytics dashboard for a high-traffic web application. The
  dashboard must be capable of handling millions of events per second and allow for real-time data
  querying. Which combination of GCP services would be most suitable for this?
• A DevOps team needs to deploy a CI/CD pipeline that involves running integration tests on Kubernetes
  clusters, storing build artifacts, and also leveraging secret management. What combination of GCP
  services would best address this scenario?
• How can you ensure that a particular set of GKE nodes only runs Pods requiring GPU resources, while
  also isolating those Pods into a specific namespace?
• You want to automate GCP resource creation for different departments with varying permissions, using
  IaC. Which service allows you to define templates with built-in role-based access controls that can be
  reused across departments?
• Your application running on GKE requires shared persistent storage accessible by multiple pods. What is
  the most appropriate GCP service to use for this requirement?
• You are building a real-time analytics dashboard using GCP services. The data comes from various IoT
  devices and must be ingested, processed, and made available for query in real-time. Which combination of
  GCP services should you use?
• You are architecting a solution that involves microservices communicating via gRPC. The microservices
  are containerized and require service mesh capabilities for traffic routing, policy enforcement, and
  telemetry. What combination of GCP products and configurations should be used to fulfill these
  requirements?
• You are designing a real-time analytics dashboard for a global e-commerce website. The dashboard must
  update in real-time and should be capable of handling large query loads without impacting the underlying
  data storage. Which combination of GCP services and features would you recommend?
• You're tasked with implementing a real-time analytics solution for a global e-commerce company. The
  system must be able to process both batch and stream data efficiently. What combination of GCP services
  should you use to meet these requirements?
• A Data Science team needs to access BigQuery and TensorFlow but should not be able to modify IAM
  settings. Which combination of predefined roles would you assign to the Data Science team to enforce the
  least privilege principle?
• You are working on a data analytics project that requires real-time processing of streaming data from IoT
  devices. What GCP services would you use for real-time data ingestion, transformation, and analysis?
• You are designing a Disaster Recovery (DR) plan for an organization that currently relies heavily on
  Dedicated Interconnect for its daily operations. Which of the following options would you consider as a
  failover strategy to ensure uninterrupted data flow in the case of an unplanned outage?
• You're designing a real-time analytics solution for a global retail chain, and your primary concern is
  low-latency processing and analytics. Which combination of GCP services would best serve your needs?
• You are tasked with implementing a video processing pipeline that can automatically scale based on the
  number of video uploads. What combination of GCP services should you use?
• You have a globally distributed application that must perform real-time analytics on incoming data. What
  combination of GCP services should you use?
• You have set a folder-level IAM policy that grants a user the roles/storage.admin role. You then set a
  project-level IAM policy that denies the user the roles/storage.admin role. What is the effective IAM role for
  that user in that project?
• Your organization uses multiple GCP services and is concerned about data exfiltration. You are tasked to
  enforce VPC Service Controls. Which of the following services are NOT supported by VPC Service
  Controls?
• You are tasked with monitoring system metrics, application logs, and tracing information for a complex
  application running in GKE. What is the best approach to centralize this information?
• You have an application that uses Cloud Firestore for its database. You need to perform complex queries
  and aggregations that are not supported natively by Firestore. What is the most efficient way to
  accomplish this?
• In a GCP architecture, you need to launch VMs that have a specific CPU architecture for a short duration.
  What type of VMs should you consider using?
• You are migrating a large dataset to BigQuery and are concerned about storage costs. What features could
  you use to minimize the storage costs? (Select 2)
• You are tasked to implement a real-time analytics solution for a global e-commerce platform that must be
  able to handle large volumes of incoming data and deliver insights with minimal latency. Which
  combination of GCP services would be ideal for this use case?
• You need to migrate an on-premise Hadoop cluster to GCP with minimal disruption. The migrated data
  should be easily queried and integrated with GCP analytics services. What should you do?
• You have a multi-region deployment in Google Cloud and want to minimize latency for end-users
  accessing your services. Which GCP product would best serve this need?
• You are tasked with running machine learning models on a large dataset. You need to select a suitable
  GCP service that allows you to use custom machine types and also take advantage of TPUs. What should
  you choose?
• Select one false statement about App Engine
• A company has a multi-tier web application deployed in GCP. They are looking to automate the deployment
  process with version control. The application contains Compute Engine instances, a Cloud SQL database,
  and uses Pub/Sub for messaging. What GCP services should they consider using to meet these
  requirements?
• You have several Compute Engine instances that need to access a Cloud SQL database. For security
  reasons, you want to ensure that the data in transit is encrypted and that only authorized Compute Engine
  instances can access the database. Which combination of GCP services and features would you employ?
• You are a Cloud Architect designing a real-time streaming analytics system using Pub/Sub, Dataflow, and
  Bigtable. The system must be resilient to zone failures. How should you architect this solution?
• When using Cloud Spanner, which of the following is not an advisable way to ensure optimal
  performance?
• You are responsible for setting up a secure, fault-tolerant VPN connection between on-premises and GCP.
  What would be the best approach to achieve this?
• As a Cloud Architect, you are tasked with setting up a secure data pipeline for real-time analytics. Your
  organization demands the pipeline to be fault-tolerant, and it must have end-to-end encryption. Which GCP
  services would be the most appropriate to build this pipeline?
• You are a cloud architect for a real-time financial analytics firm. The application needs to make real-time
  decisions based on data from various sources. The data is critical and must be encrypted at rest and in
  transit. Which GCP service is most appropriate for this use case?
• You have several microservices running on GKE. You need to minimize latency and enable a caching layer.
  You also require analytics capabilities for API traffic. What would be the best approach?
• You have an application that processes large datasets and requires low-latency responses. The application
  has a microservices architecture. Which GCP services should you leverage for orchestrating these
  microservices in a cost-effective manner?
• You are asked to design a global transactional database that can automatically scale in response to
  application traffic. The database should also provide backup capabilities to handle unforeseen data loss.
  Which GCP service should you recommend?
• Your company is deploying an AI-driven chatbot for customer service. The chatbot must interact with a
  CRM system, be scalable, and must support complex conversational workflows. What GCP services would
  best fit these requirements?
• Your organization has a set of microservices that need to communicate securely and efficiently. The
  services are containerized. You're tasked with selecting the most appropriate GCP service for deploying
  these microservices. What should you choose?
• You have been tasked with setting up an automatic backup solution for your organization's GCP-based
  MySQL database. You want to ensure that backups are securely encrypted, easily restorable, and support
  point-in-time recovery. Which GCP service should you use?
• You need to set up a globally-distributed database with strong transactional consistency for a critical
  application. Which GCP service would you choose?
• Your company has a strict data residency requirement. Your application deployed on GCP needs to store
  data only in specific geographic regions. Which storage service would you choose?
• Your organization has a compliance requirement to ensure all stored data is encrypted at rest. Which of the
  following is NOT a suitable GCP storage solution for this requirement?
• As a Cloud Architect, you want to automatically be alerted when the cost of a particular GCP project
  approaches a set threshold. Additionally, you want this information to be sent to a Pub/Sub topic for
  further processing. What should you do?
• You are asked to develop a CI/CD pipeline that compiles code, runs tests, and deploys a containerized
  application to a GKE cluster. Which GCP service would best serve this requirement?
• You are asked to design a robust disaster recovery (DR) strategy for a mission-critical application hosted
  on GCP. The requirement is to achieve an RTO (Recovery Time Objective) of less than 15 minutes. Which of
  the following strategies would be most appropriate?
• You are designing an application in GCP that has a microservices architecture. You have to ensure
  low-latency communication between services while maintaining high availability. What would be the ideal
  choice?
• You are responsible for a large data analytics project where you'll be using BigQuery. The source data is in
  Avro format stored in Google Cloud Storage. Your priority is to minimize the query cost. What should you
  do?
• You are in charge of optimizing a BigQuery workflow for a data analytics team. The team performs frequent
  queries on a 500GB dataset. To improve performance and reduce costs, what would be the best practice?
• You are tasked with the real-time analysis of incoming telemetry data from IoT devices. The data must be
  ingested, processed, and then scored for machine learning. Which combination of Google Cloud services
  should you employ to best fulfill these requirements?
• A financial organization needs to transfer large amounts of sensitive data daily from their on-premises
  servers to GCP. They require a low-latency, high-throughput, and secure connection. What would be the
  most suitable service for this requirement?
• You want to leverage a managed NoSQL database on Google Cloud for your globally distributed
  application. The database must support multi-region transactions with strong consistency. Which GCP
  service would best meet your requirements?
• You are tasked with creating a cost-effective, long-term data storage solution for an organization that
  needs to store petabytes of archival data. The data must be encrypted and infrequently accessed. What
  GCP storage solution would be most appropriate?
• You are designing a globally distributed application that needs high availability and automatic failover. The
  application's state must be preserved globally. Which GCP database service should you use?
• You need to create a real-time analytics dashboard for streaming data ingested from various IoT devices.
  Which combination of GCP services would provide the most effective solution?
• A gaming company wants to implement a real-time leaderboard for its multiplayer game on GCP. Which
  GCP service should they use to efficiently track player scores and rankings in real-time?
• Your organization needs to store and analyze large datasets in GCP. You require a service that offers
  managed, scalable storage and the ability to perform complex queries on the data. Which GCP service
  should you choose?
• You are a GCP cloud architect working on a project with multiple VPCs. Your team needs to establish
  private connectivity between these VPCs without using external IPs. What should you recommend to meet
  this requirement while following Google's best practices?
• You are responsible for managing a complex multi-tier application in Google Cloud. The application
  consists of multiple microservices running in Docker containers on Kubernetes Engine. You need to
  ensure high availability and efficient scaling of these microservices. Which Google Cloud service should
  you use to manage and orchestrate the containers effectively?
• Your organization needs to securely store and manage sensitive API keys, database passwords, and other
  credentials used by your applications in Google Cloud. What Google Cloud service should you use for this
  purpose, following best practices?
• Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
  run critical workloads and need to maintain their existing IP addresses during migration. What Google
  Cloud feature should you use to achieve this goal?
• Your company's finance department has notified you that logs generated by a financial application will
  need to be kept for five years. It is not likely to be accessed, but it has to be available if needed within three
  days. How would you recommend storing that data?
• Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
  run critical workloads and need to maintain their existing IP addresses during migration. What Google
  Cloud feature should you use to achieve this goal?
• Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
  run critical workloads and need to maintain their existing IP addresses during migration. What Google
  Cloud feature should you use to achieve this goal?
• Your company's finance department has notified you that logs generated by a financial application will
  need to be kept for five years. It is not likely to be accessed, but it has to be available if needed within three
  days. How would you recommend storing that data?
• Your team is developing a web application that needs to provide real-time chat functionality. You want to
  leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
  way. What Google Cloud service should you use for this purpose?
• Your organization wants to optimize costs for running workloads on Google Cloud. You are tasked with
  identifying idle or underutilized virtual machine (VM) instances. What Google Cloud service can help you
  analyze VM instance utilization and identify cost-saving opportunities?
• You are designing a data analytics pipeline that needs to handle unstructured, real-time data for immediate
  analytics. What combination of services should you consider?
• You need to set up a robust logging and monitoring solution for your GCP-based web application. What
  combination of services should you employ for a comprehensive view of your system's health?
• You need to set up a CI/CD pipeline in GCP that should be able to deploy applications to both App Engine
  and GKE. Which service(s) will you use?
• You are tasked to ensure data resiliency for an application using Cloud Spanner. Which of the following
  strategies will guarantee global availability and protection against region-wide failures?
• You want to enable fine-grained access control for applications running on your GKE cluster. Which of the
  following GCP services should you integrate with GKE?
• You're planning to run a batch processing job that requires a variable number of VM instances. Which GCP
  service would be most appropriate to use in conjunction with MIGs?
• You are implementing a multi-region disaster recovery strategy for a stateful application currently
  deployed in App Engine Flexible. What GCP service should you include to ensure data consistency and
  availability across regions?
• You are tasked with ensuring high availability and disaster recovery for a mission-critical application
  deployed on Google Kubernetes Engine (GKE). Which of the following would you implement? (Choose 2)
• You are migrating a latency-sensitive application to GCP. The application uses a microservices
  architecture. Which service should you use to manage API requests efficiently and why?
• You are planning to integrate Cloud Monitoring and Cloud Logging for comprehensive observability of
  your GCP resources. How should you minimize the cost associated with storing logs while ensuring the
  logs are readily available for the last 30 days and archived thereafter?
• A financial institution is planning to deploy a highly sensitive application on GCP. This application will
  handle both credit card data and PII. What service and feature combination should be considered for data
  encryption at rest and in transit?
• You have a monolithic application running on VMs, and you want to modernize it by moving to a
  container-based architecture. The application has dependencies on specific kernel versions. Which of the
  following Google Cloud services would you use for a seamless migration and why?
• Your GKE application requires data persistence. What would you do to ensure that the storage used by
  your pods remains available even if the pods are rescheduled?
• You are required to implement a security measure where you can audit who has accessed encryption keys
  in your GCP project. Which GCP service provides this capability?
• You have implemented multiple services using GCP's API Gateway and you want to monitor the API calls
  for unauthorized or suspicious activity. Which GCP service should you use to accomplish this?
• Your company is experiencing slowness in analytic queries and wants to optimize the cost of analytics in
  Google Cloud. You are tasked with recommending a solution that would allow for cost-effective and fast
  analytics on a petabyte-scale data. What should you recommend?
• A financial institution requires a solution for securing its data at rest, in transit, and during processing. The
  data includes both structured and unstructured formats. Which combination of GCP services would offer
  the highest level of security?
• Your organization wants to implement a Data Loss Prevention (DLP) strategy across Cloud Storage,
  BigQuery, and Datastore. You also need to ensure real-time inspection of sensitive data. Which GCP
  service should you use?
• Your organization has applications that require high-throughput and low-latency data storage for a global
  user base. Which database service would best fit these requirements while adhering to Google's best
  practices?
• Your organization wants to archive sensitive data in a GCP storage service with the minimum costs, and
  access frequency is extremely low. The data must be encrypted at rest and adhere to HIPAA compliance
  requirements. Which service would you choose?
• Your organization needs to build a data lake that allows data analysts to query petabytes of data. The data
  is semi-structured and will be in formats like Avro, JSON, and Parquet. Which GCP service would be the
  best fit for this requirement?
• As a Cloud Architect, you need to design a resilient storage solution for mission-critical applications
  requiring both multi-regional availability and strong consistency. Which GCP service meets these
  requirements while also providing seamless horizontal scaling?
• Your organization wants to deploy a machine learning model in a scalable way to process incoming API
  requests. The model should automatically scale with demand and have low latency. Which GCP service
  best suits this requirement?
• Your client requires a secure and automated way to manage configurations and secrets for a
  microservices-based application running on Google Kubernetes Engine. Which GCP service would you
  recommend?
• What is the best combination of GCP services for transitioning a monolithic application to microservices
  with efficient CI/CD, scalability, and monitoring capabilities?
• For a financial application requiring a globally distributed, ACID-compliant database with low latency,
  which GCP solution is most appropriate?
• For a fintech company using GCP to achieve data redundancy across multiple regions while maintaining
  low latency for an international user base, which combination of services is most effective?
• What GCP services and features should be recommended for deploying a machine learning model that
  needs to auto-scale based on traffic and integrate with BigQuery for real-time analytics?
• When processing data in GCP, which three factors are crucial to consider?
• For a microservices architecture deployment on GCP with easy rollback capabilities, which service is most
  suitable?
• What approach is recommended for migrating large sets of databases to GCP that require both high
  availability and geographical distribution?
• For an e-commerce application requiring low-latency object retrieval and high durability, with a need to
  archive transactional data after 30 days, what is the optimal combination of storage classes and data
  lifecycle policies?
• What combination of GCP services and Kubernetes features best supports a CI/CD pipeline for
  microservices deployed in a GKE cluster across multiple environments (Dev, Test, Prod) while ensuring
  policy compliance?
• For automating the deployment of a three-tier web application (Web, App, DB layers) on GCP using an IaC
  approach, which combination of services and tools would you recommend?
• For tracking cloud expenses across different departments and associating these costs with specific
  business functions, what approach should be recommended?
• To assign specific Compute Engine instances in your Managed Instance Group (MIG) for handling
  read-heavy and write-heavy database queries, what would be the most effective method?
• For a GKE cluster with Cloud SQL storing persistent data, what is the most suitable failover strategy to
  meet disaster recovery objectives with RTO and RPO within minutes?
• In managing a GKE cluster for a multi-tier application with separate frontend, backend, and data layers,
  what is the best approach to ensure both logical separation and network policy enforcement?
• How can you ensure data consistency while optimizing costs for running stateful batch jobs on GKE using
  pre-emptible instances, especially when these jobs depend on a shared dataset?
• For an e-commerce application running on GKE clusters in the US and Europe with Cloud CDN, what is the
  best combination of GCP services to ensure seamless failover and low-latency access?
• For containerized microservices requiring automated orchestration, built-in security, seamless CI/CD
  integration, and native support for deploying machine learning models, which GCP compute service is
  recommended?
• To establish a robust, multi-regional database with strong consistency, SQL-like queries, and disaster
  recovery capabilities, what GCP service and disaster recovery setup should be recommended to a fintech
  company?
• In a multi-tenant GCP project with resources grouped into separate folders, what is the appropriate IAM
  role and assignment level for granting billing-related permissions to each tenant’s billing manager?
• What combination of Google Cloud services is ideal for building a hybrid cloud solution that securely
  connects on-premises systems to Google Cloud?
• For building a real-time analytics system for IoT sensor data, which GCP services would be most effective
  for scalable ingestion, storage, and real-time querying?
• As a GCP Cloud Architect tasked with designing a robust, multi-regional data storage solution with
  immediate consistency, which GCP service would you recommend?
• To ensure compliance with data sovereignty regulations for a web application deployed on App Engine,
  which approach ensures data is stored within a specific geographical region?
• For implementing secure, high-speed data transfer with low latency between on-premises and GCP in a
  hybrid cloud model, what combination of services and components is recommended?
• For a multi-tenant SaaS application requiring SQL-based transactions, support for a global user base, and
  stringent compliance requirements, which GCP database solution is most appropriate?
• To manage several GCP projects within your organization, what is the best method to create a centralized
  logging system for real-time log searching across all projects?
• When implementing a microservices architecture on GCP, which services are best suited to ensure high
  availability and durability by decoupling event producers from consumers?
• What is the correct hierarchy for applying IAM policies in Google Cloud?
• To store large-scale historical time-series data with efficient querying and CMEK encryption, what is the
  most appropriate approach?
• In designing a Kubernetes deployment using GKE that requires secure access to a Google Cloud SQL
  instance, what is the recommended method for secure communication?
• For setting up a real-time analytics solution in GCP to process high-velocity, high-volume event data and
  compute aggregations, which services should you utilize for scalability and cost-effectiveness?
• When designing an architecture that includes both stateful and stateless components, what types of VMs
  and instance groups should you use for these components in GCP?
• To design a cost-effective BigQuery solution for occasional querying with immediate data availability, what
  pricing model and table type should you select?
• In considering a hybrid cloud deployment, which GCP service should you recommend for secure and
  high-performance connectivity between on-premise networks and Google Cloud?
• What is the definition of availability in modern cloud architecture?
• To build a data pipeline that ingests, transforms, and loads data into BigQuery for analytics, which
  combination of GCP services would be the most efficient for both real-time and batch processing?
• What is the most appropriate disaster recovery (DR) strategy for mission-critical applications on Compute
  Engine with a Recovery Time Objective (RTO) of less than 10 minutes?
• In a heavily regulated industry requiring data sovereignty, what combination of services and configurations
  should be used to maintain compliance while effectively utilizing BigQuery for analytics?
• Which statement about VPC Peering in Google Cloud is incorrect?
• For building a highly available application on GCP with automatic failover and zero-downtime
  deployments, which service is recommended?
• For a large e-commerce platform requiring operational databases during regional outages and capable of
  supporting millions of products with SQL compatibility, which GCP service is most suitable?
• For a pharmaceutical research company requiring high computational power to run thousands of
  simulations and calculations, which fully-managed service from Google Cloud is recommended?
• Migrating a legacy application to GCP with strict compliance requirements for data encryption, both at rest
  and in transit, what combination of services and features should be used?
• For implementing a data analytics pipeline with real-time event streaming and batch processing, what
  combination of GCP services should be used for a robust, scalable, and cost-effective solution?
• To deploy an AI model for real-time predictions accessible via RESTful APIs and requiring auto-scaling
  based on demand, which GCP service is the best choice?
• For a multinational e-commerce company needing to analyze customer data with GDPR compliance, which
  combination of GCP services is recommended for secure data analytics?
• When architecting a hybrid cloud solution for an organization with strict compliance requirements,
  needing encryption of data both in transit and at rest, which combination of GCP services and features
  should be utilized?
• For a shift to a microservices architecture on GCP, which orchestration solution should be chosen that is
  fully managed, supports auto-scaling, and integrates with Cloud Monitoring?
• In implementing a hybrid cloud strategy that connects an on-premises data center with Google Cloud,
  which GCP product ensures seamless connectivity with low latency, high throughput, and enterprise-grade
  security?
• For a retail organization aiming to enhance customer engagement with personalized recommendations,
  which combination of GCP services is best for analyzing user data and serving recommendations in
  real-time?
• When designing a fault-tolerant, globally distributed application that requires low-latency data access and
  strong transactional consistency across regions, which database service is recommended?
• As a GCP Cloud Architect, you are responsible for designing a system that handles data from a multitude
  of IoT devices on Google Cloud. This data needs to be processed instantly for analytical purposes. What
  combination of services is best suited for this task?
• As a GCP Cloud Architect, your task is to design a scalable data pipeline that can handle high volumes of
  incoming data and perform near-real-time analysis. Which set of GCP services would be the most effective
  for this requirement?
• As a GCP Cloud Architect, your objective is to optimize the expenses associated with a BigQuery setup,
  which is used for complex analytical queries. What strategy would you adopt to reduce costs without
  compromising on performance?
• As a GCP Cloud Architect, you are responsible for creating a DR (Disaster Recovery) strategy for a
  cloud-native application. Your goal is to achieve an RPO (Recovery Point Objective) of 15 minutes and an
  RTO (Recovery Time Objective) of 1 hour. What GCP services combination is most suitable to meet these
  objectives?
• In managing IAM (Identity and Access Management) on GCP, how would you configure permissions to
  prevent a developer from unintentionally deleting an important storage bucket, while still maintaining other
  administrative rights over storage buckets?
• As a Cloud Architect, you need to design a resilient system for handling streaming data, ensuring regional
  failure resistance and a 7-day retention of streaming logs. What is the most suitable GCP architecture for
  this purpose?
• For a mission-critical, stateful application in your organization that demands strict consistency and high
  availability across multiple zones within a region, which Google Cloud service is best suited for the
  database layer?
• When managing a globally distributed application that delivers both static and dynamic HTTP/HTTPS
  content, which Google Cloud Load Balancer configuration is most effective for ensuring high availability
  and low latency, particularly when a single IP address is needed for global routing?
• For a large-scale financial institution deploying machine learning models on GCP for fraud detection, with
  a stringent policy on data encryption at rest, in transit, and during ML computation, which GCP service or
  combination of services best aligns with these requirements?
• To establish a comprehensive data lake solution in GCP that handles batch and stream data ingestion, as
  well as transformations and analytics with SQL-like queries, which set of GCP services should be utilized?
• Following the migration of a monolithic application to a microservices architecture on GCP, which
  combination of services should be employed to ensure high availability, fault tolerance, and the facilitation
  of canary deployments?
• For a multinational corporation seeking a scalable and cost-effective solution on GCP to store and analyze
  large volumes of data, which service is most appropriate?
• In designing a highly available GCP architecture for a worldwide e-commerce platform, which service is
  optimal for balancing traffic effectively while ensuring low latency for both IPv4 and IPv6 clients?
• When your development team needs to deploy a new instance in the europe-central2 region, requiring
  access to an application on a Compute Engine instance in the us-west1 region within the same project,
  what is the recommended approach following Google's best practices?
• For deploying a new instance in the europe-central2 region that needs to access an application on a
  Compute Engine instance in the us-west1 region within the same project, what is the recommended
  practice according to Google's guidelines?
• When your development team plans to set up a new instance in europe-central2 with access requirements
  to an application on a Compute Engine instance in us-west1 within the same project, what would be the
  advisable approach following Google's best practices?
• As a Cloud Engineer aiming to manage CPU and memory resources efficiently in a Kubernetes cluster,
  what should you configure to receive notifications if CPU usage exceeds 80% for 5 minutes or memory
  usage goes over 90% for 1 minute?
• To establish development, test, and production environments in Google Cloud for a project, while ensuring
  consistency and adhering to Google's best practices, what is the recommended approach?
• Given that the finance department requires logs from a financial application to be retained for five years,
  rarely accessed but available within three days if needed, what is the most suitable storage
  recommendation?
• Your company's finance department requires long-term storage of logs from a financial application, with a
  five-year retention period and accessibility within three days on demand. What storage method would you
  recommend?
• As a Cloud Architect, which machine type family should you RCommmd to use for AAA game servers?