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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:
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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
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By vmartinez
What data does the Realtime report show?
Explanation:
The correct answer is ‘Events that took place within the last 30 minutes.’ The Realtime report in Google Analytics provides users with immediate insights into website or app activity, displaying data on user interactions that occurred within the last 30 minutes. Personally, I’ve found the Realtime report to be invaluable for monitoring the immediate impact of marketing campaigns, website changes, or events. For instance, during product launches or promotional events, I’ve used the Realtime report to gauge user engagement in real-time, allowing for quick adjustments to marketing strategies based on immediate feedback. This level of immediacy enables businesses to react swiftly to emerging trends or issues, optimizing user experiences and maximizing campaign effectiveness. Additionally, the Realtime report serves as a powerful tool for testing website changes or new features, providing instant feedback on user interactions to inform iterative improvements. By leveraging the Realtime report, businesses can stay agile, responsive, and proactive in their digital strategies, ultimately driving better results and enhancing user satisfaction.
By vmartinez
You run a small company that has a website as well as an app for iOS and an app for Android. If your objective is to analyze events and users across all three of these, how should you set up your account?
Explanation:
The correct answer is to set up one property with one web data stream for your website and two app data streams, one for iOS and the other for Android. This setup ensures comprehensive tracking and analysis of events and users across all three platforms. Personally, I’ve implemented similar configurations for analytics in various projects. Having distinct data streams for each platform allows for precise monitoring of user interactions, engagement, and performance metrics tailored to the specific platform’s nuances. It’s essential to differentiate between web and app data streams because user behaviors and usage patterns often vary significantly between web and mobile experiences. By consolidating all data under one property, you gain a holistic view of your digital presence, facilitating more informed decision-making and targeted optimizations. This setup also streamlines the analytics process, making it easier to compare performance across platforms and identify trends or areas for improvement. In my experience, this approach has proven invaluable for optimizing user experiences and driving business growth by ensuring that no insights are overlooked and all platforms receive the attention they deserve.
When you’re setting up your properties, structure them in alignment with your user bases and business objectives. Because your app is on two different platforms, he needs two data streams — one for Android and one for iOS.
Remember, a property is the container for your reports based on the data you collect from your apps and sites. A data stream lives within a property and is a source of data from your app or website.
A flow of data from your website or app to Analytics. There are 3 types of data stream: Web (for websites), iOS (for iOS apps), and Android (for Android apps).
Read more here: https://support.google.com/analytics/answer/9355659
By vmartinez
You manage a hardware store and you post a new how-to video on your website so that customers can learn how to properly use the tools that you sell. Google Analytics has a lot of data about user interactions with this video.
Which of these is considered a “user property” collected by Google Analytics?
By vmartinez
One of these attribution models relies on machine learning algorithms to assign credit for a conversion across various touchpoints. Which is it?
Explanation:
The correct answer is Data-driven. Data-driven attribution modeling harnesses the power of machine learning algorithms to accurately assign credit for conversions across multiple touchpoints in a customer’s journey. Unlike simplistic models such as first click or last click, which attribute all credit to a single touchpoint, data-driven attribution takes into account the complexity of the entire customer journey. By analyzing vast amounts of data, machine learning algorithms can identify patterns and interactions between different touchpoints, allowing for a more nuanced understanding of each touchpoint’s contribution to conversions. In practice, implementing data-driven attribution enables marketers to make more informed decisions about resource allocation, campaign optimization, and overall strategy. Personal experience in deploying data-driven attribution models has demonstrated their effectiveness in uncovering hidden insights and optimizing marketing efforts for maximum impact. By leveraging machine learning algorithms, marketers can gain a comprehensive understanding of how various touchpoints influence conversions, ultimately leading to improved campaign performance and ROI.
By vmartinez
You have already set up your web data stream and data is flowing into your Google Analytics property from your website. You notice that enhanced measurement is enabled for the web data stream. What happens when this setting is enabled?
Explanation:
The correct answer is ‘Additional events are collected from your website without you needing to change your website’s code.’ When enhanced measurement is enabled for a web data stream in Google Analytics, additional events are automatically collected from the website without the need for any changes to the website’s code. Personally, I’ve implemented enhanced measurement in various Google Analytics setups, and it has proven to be a valuable feature for automating data collection and expanding the scope of tracked events. With enhanced measurement enabled, Google Analytics can capture additional events such as scroll tracking, outbound link clicks, file downloads, and video engagement without requiring manual implementation of event tracking codes on the website. This streamlined approach saves time and effort for website administrators and developers while providing a more comprehensive view of user interactions. In my experience, leveraging enhanced measurement has enriched the dataset with valuable insights into user behavior, enabling businesses to make informed decisions and optimize website performance effectively. Additionally, the automatic collection of additional events enhances the accuracy and completeness of data analysis, contributing to more accurate attribution modeling and better understanding of user engagement patterns. Overall, enabling enhanced measurement simplifies the data collection process and empowers businesses to derive actionable insights from their website traffic with minimal manual intervention.
If you’re creating a web data stream, you’ll see an option called “enhanced measurement.” Keep this on to automatically collect pageviews, scrolling, outbound link clicks, site searches, and other common user events. You can disable or re-enable enhanced measurement at any time.
Enhanced measurement lets you measure interactions with your content by enabling options (events) in the Google Analytics interface. No code changes are required. When you enable these options for a web data stream, your Google Analytics tag starts sending events right away.
Before turning on the enhanced measurement feature, be sure you understand each option and what enhanced data will be collected. You can also turn off specific measurement options in settings.
Read more here: https://support.google.com/analytics/answer/9216061
By vmartinez
You are the managing editor of a blog that features several contributing writers.
What could you use to report the writer’s name on each article page?
Explanation:
The correct option is Custom dimension. As the managing editor of a blog featuring multiple contributing writers, utilizing a custom dimension allows for the reporting of the writer’s name on each article page accurately. In practical terms, custom dimensions provide a flexible way to capture and analyze additional data beyond the default metrics and dimensions offered by analytics platforms like Google Analytics. In my experience overseeing content platforms, implementing custom dimensions for writer attribution has been invaluable for tracking individual performance, identifying popular authors, and understanding audience preferences. By associating each article page with the respective writer’s name using custom dimensions, businesses can gain insights into content effectiveness, audience engagement, and contributor contributions. This level of granularity enables editorial teams to make informed decisions about content strategy, resource allocation, and writer performance evaluation. Overall, leveraging custom dimensions for writer attribution enhances reporting accuracy, facilitates content optimization, and drives continuous improvement in content marketing efforts.