Latest Google Analytics 4 Exam’s answers 2025. Google Analytics 4 Assessment Questions and Answers with Explanation and Referral URLs For Practicing Purpose and To Earn Knowledge from Verified Source. Google Analytics 4 (GA4) Exam Answers Recently Updated on 05 February, 2025.
This guide is your complete resource for clearing the Google Analytics Certification exam. Based on Google Analytics 4 (GA4), this assessment validates your skills in using GA4 to collect, interpret, and act on user behavior data across websites and apps.
It includes everything you need: real questions, correct answers, and a breakdown of the exam structure—all mapped to the official Skillshop version.
This certification proves your ability to:
Though it does not count toward the Google Partner Badge, it is a highly respected credential among digital marketers, SEO specialists, media analysts, and CRO professionals.
To take the test:
The test is heavily based on GA4’s event-driven model, new UI, and reporting capabilities.
The GA4 certification evaluates your ability to use the platform for data-driven decision-making. Core topics include:
Below this guide, you’ll find a curated list of Google Analytics 4 certification questions and correct answers. These have been verified against real exam attempts and reflect the current 2025 exam content.
Topics include:
These questions are also trusted by learners on School4SEO, a leading platform for certification preparation.
Once you pass:
GA4 is the future of web and app analytics. This exam proves your ability to not only understand the numbers but to turn them into insight. Use the verified examples below to prepare effectively and pass confidently.
Now scroll down to access the full set of GA4 Certification questions and verified answers, updated for 2025.
The Acquisition section in Google Analytics Reports provides insights into where users are coming from before visiting your website, such as social media.
The Acquisition section in Google Analytics Reports provides insight into where users are coming from before visiting your website, including search engine results and social media.
The section in Google Analytics Reports where you can find insights into where users are coming from before visiting your website is Acquisition.
The language preference of users watching the video on your site is a user property collected by Google Analytics to help understand audience demographics.
In Google Analytics, a user property collected for your video would be the language preference of users watching the video on your site.
To define a homepage view event in Google Analytics, you can use the Create event option in the Events section.
A data stream in Google Analytics lives within a property and serves as a source of data from an app or website.
Conversion modeling in Google Analytics uses machine learning to estimate conversions that cannot be directly observed, filling in data gaps for better measurement.
Conversion modeling in Google Analytics uses machine learning to measure conversions that aren’t directly observable, helping to fill gaps in conversion data.
The Data Retention Period feature in Google Analytics allows you to control how long user-level and event-level data is stored.
The platform that you can connect with Analytics to get insights into organic search queries directing users to your website is Search Console.
To gain insights into organic search queries that drive users to your website, you can connect Google Analytics with Search Console.
If you wanted to gain insights into the organic search queries that are taking users to your website, you should connect Search Console with Analytics.
To collect and send data from your mobile app to your Google Analytics 4 property, you should use the Firebase SDK.
Firebase SDK is best practice that should be used to collect and send data from a mobile app to a Google Analytics 4 property.
To start collecting and sending data to Google Analytics for your website, you need to implement an Analytics tag.
If you delete a property from your Google Analytics account, you have 35 days until the property is permanently deleted.
Once you’ve deleted a property from your Google Analytics account, it takes 35 days for the property to be permanently deleted.
To analyze events and users across your website and both iOS and Android apps, set up one property with one web data stream for your website and two app data streams, one for iOS and one for Android.
The User-ID feature in Analytics allows you to connect individual customers’ behavior across different platforms and devices by associating your own identifiers with them.
The User-ID feature in Google Analytics allows you to connect individual customers’ behavior across different interactions on various platforms and devices by associating your own identifiers with them.
The User-ID feature in Google Analytics allows you to associate your own identifiers with individual customers, connecting their behavior across different interactions on various devices and platforms.
To export Google Analytics data to BigQuery for queries and offline data integration, you can use Standard or Analytics 360 properties with GA4.
The Analytics properties that are able to export data to BigQuery are Standard or Analytics 360 properties using GA4.
In the report, device type is a dimension in Google Analytics.
In the report, device type is considered a dimension, as it categorizes whether users accessed the site from desktops, mobile phones, or other devices.
Roll-up properties are best practice that should be used when creating a new data set with a wide view of your business across brands, products, or regions by combining data from multiple-source properties.
In Google Analytics 4, you should mark especially valuable events, like purchases or newsletter sign-ups, as Conversion Events.
In Google Analytics 4, you should label especially valuable events, like newsletter sign-ups or purchases, as Conversion Events.
In Google Analytics 4, valuable actions like purchases or newsletter sign-ups should be marked as conversion events to track their impact effectively.
The exploration technique that lets you visualize the steps users take toward a key task or conversion and see how well they are succeeding or failing at each step is Funnel exploration.
The Funnel Exploration technique helps visualize the steps users take toward a key task or conversion and shows how well they succeed or fail at each step.
In the Explore section of Google Analytics, use the Free Form exploration technique to customize metrics and dimensions in a table format.
You can use the Model Comparison report to see how first-click attribution would value channels and campaigns compared to last-click attribution.
If you were using last-click attribution and wanted to see how channels and campaigns would be valued under first-click attribution, you would look at the Model Comparison report.
By default, only you can see the exploration, but you can share it with other users of the property in read-only mode.
The data for those events will only be used for measurement purposes when Ads Personalization is enabled for the property but specific events are excluded.
You could use the Engagement overview report in Google Analytics if you’re interested in seeing which pages on your site are getting the most traffic.
The Engagement overview report would be useful if you’re interested in seeing which pages on your site are getting the most traffic.
When Google Ads is linked to Google Analytics, Google Ads can use these conversions to optimize your bids for ad placements.
Google Ads can use conversion events from Google Analytics to optimize your bids for ad placements.
When Google Ads is linked to Google Analytics, conversion events from Google Analytics can be used in Google Ads to optimize bids for ad placements.
In this Google Analytics report, a metric is how many users were on mobile phones over the past 30 days.
In the report, a metric in Google Analytics is how many users were on mobile phones over the past 30 days.
The data-driven attribution model relies on machine learning algorithms to assign credit for a conversion across various touchpoints.
The Data-driven attribution model uses machine learning algorithms to distribute credit for a conversion across different touchpoints.
The attribution model that spreads credit for a conversion across different touchpoints through the use of machine learning algorithms is data-driven attribution.
The Analytics feature that, when enabled, associates event data collected from users on their website or app with the Google accounts of signed-in users who have consented to sharing this information, is Google signals.
Google signals is best feature that should be enabled to associate event data collected from users on their app or website with the Google accounts of users who are signed in and have agreed to share this information.
The Google Signals feature in Analytics associates event data from users on an app or website with their Google accounts, provided they are signed in and have given explicit consent.