- Hourly and Streaming
- Daily and Weekly
- Daily and Streaming
- Weekly and Streaming
Home » Google Analytics 4 Certification Answers » Page 19
Google Analytics 4 Certification Answers To get your GA4 certificate you need to pass 50 question assessment. There are 150 possible questions and during the test you get 50 random questions from these 150. And in a random order. Our file contains all possible exam questions with verified answers.
The Google Analytics Certification assessment consists of 50 questions and you have 75 minutes to complete.
Questions:
===
===
Explore Advertising Configure Reports
That data will only be used for audiences in Google Ads That data will only be used for measurement purposes That data will only be available in the Reports and Explore sections That data will only be available in the Advertising section
You create a report to show the types of devices users have been coming from over the past 30 days — whether they were on computers or mobile phones, for example. In this report, which of these is a “metric” in Google Analytics?
You are in your Google Analytics property’s Explore section. What exploration technique should you use in order to customize metrics and dimensions in a table format?
You’re using last-click attribution, but would like to see how first-click attribution would value channels and campaigns. Which report can you use to find this insight?
Conversion paths Funnel exploration Model comparison Segment overlap
___
By vmartinez
Your goal is to export your Google Analytics data to BigQuery so that you can run queries and combine some of your offline data with Analytics data. Which Analytics properties can export data to BigQuery?
Explanation:
You can export all of your raw events from Google Analytics 4 properties to BigQuery. You can export session and hit data from a Google Analytics 360 account to BigQuery, and then use a SQL-like syntax to query all of your Analytics data.
Standard properties have a daily BigQuery Export limit of 1 million events. If your property consistently exceeds the export limit, the daily BigQuery export will be paused and previous days’ exports will not be reprocessed.
Read more here: https://support.google.com/analytics/answer/3437618
By vmartinez
What is something you can do with your data when you export your Google Analytics data to BigQuery?
Explanation:
The correct option is You can use SQL to query your data to answer questions and gain insights into your products, users, and channels. When exporting Google Analytics data to BigQuery, one of the significant advantages is the ability to leverage SQL queries to analyze and derive insights from the data. This capability allows for advanced data manipulation, aggregation, and analysis, empowering businesses to extract valuable insights tailored to their specific needs and objectives. Personally, I’ve utilized this feature extensively in various projects, including marketing performance analysis and user behavior segmentation. By writing SQL queries, businesses can uncover patterns, trends, and correlations within their data, enabling them to make data-driven decisions and optimize strategies effectively. Furthermore, exporting Google Analytics data to BigQuery opens up opportunities for advanced analytics techniques such as machine learning and predictive modeling, providing deeper insights and driving continuous improvement in business outcomes. Overall, leveraging SQL to query exported data in BigQuery represents a powerful approach to unlock the full potential of Google Analytics data and drive actionable insights for business growth.
By vmartinez
If you wanted to see the steps your users take to reach a key task or conversion, which exploration technique would you use to visualize those steps and see how well they are succeeding or failing at each step?
By vmartinez
Which of these scopes would be set for a custom dimension reporting membership status for a customer rewards program?
Explanation: The correct answer is User. Setting the custom dimension scope to ‘User’ would be the most appropriate choice for reporting membership status for a customer rewards program. In practical terms, this means that the membership status would be associated with individual users across multiple sessions, providing a comprehensive view of their engagement with the rewards program over time. Personally, in managing analytics for a customer rewards program, I’ve found that using the ‘User’ scope for custom dimensions offers valuable insights into user behavior and preferences. By tracking membership status at the user level, I can analyze patterns such as retention rates, frequency of engagement, and the impact of the rewards program on overall customer satisfaction. This level of granularity enables me to tailor marketing strategies, incentives, and rewards to specific segments of users based on their membership status, ultimately driving greater loyalty and engagement. Moreover, by integrating this data with other metrics such as purchase history and demographic information, I can gain a holistic understanding of the effectiveness of the rewards program and identify opportunities for optimization. Overall, selecting the ‘User’ scope for custom dimension reporting ensures that the analytics accurately reflect the long-term relationship between users and the rewards program, facilitating data-driven decision-making and enhancing the program’s success.
By vmartinez
You want to start collecting and reporting insights in Google Analytics for your website. What do you need to implement in order to start collecting and sending this data to Google Analytics?
Explanation:
The correct answer is the ‘Analytics tag.’ Implementing an Analytics tag is essential for collecting and sending data from a website to Google Analytics. Personally, I’ve overseen the implementation of Analytics tags across various websites to facilitate data tracking and analysis. By embedding the Analytics tag within the website’s codebase, businesses can begin collecting valuable insights into user behavior, traffic sources, and conversion metrics. This tag functions as a beacon, capturing data on page views, user interactions, and other relevant events, which are then sent to the Google Analytics platform for analysis. In practice, I’ve found that properly configuring and deploying the Analytics tag is critical for ensuring the accuracy and completeness of data collection efforts. Moreover, the Analytics tag supports advanced features such as event tracking, e-commerce tracking, and custom dimensions, allowing businesses to tailor their data collection strategy to align with specific goals and objectives. Overall, implementing the Analytics tag serves as the foundation for leveraging Google Analytics effectively, enabling businesses to make data-driven decisions and optimize their online presence for better performance and user experience.
The Analytics tag is a snippet of JavaScript that collects and sends data to Analytics from a website.
You can add the Analytics tag directly to the HTML of each page on your site, or indirectly using a tag management system such as Google Tag Manager.
Every time a user visits a webpage, the tracking code will collect anonymous information about how that user interacted with the page.
Read more here: https://support.google.com/analytics/answer/6086097
By vmartinez
If you’re a business owner that wants to analyze how users arrive at your website and app, as well as the user journeys across both of these platforms, what should you use to generate insights?
Explanation:
If you wants to analyse how users arrive at your website and app, as well as the user journeys across both of these platforms, you should use Google Analytics 4 to generate that insights. Google Analytics 4 properties can be used to measure both website traffic and app usage.
Read more here:https://support.google.com/analytics/answer/10356589