Update time: April 23, 2026
Looking for GA4 certification exam answers to prepare for the Google Analytics 4 certification test?
This guide covers everything you need: 50 real exam questions with detailed answers, exam structure (free, 50 questions, 75 minutes, 80% pass score), tips to pass on your first attempt, and instructions to add your certification to LinkedIn.
Updated for the 2026 Google Analytics Certification exam (Skillshop format).
GA4 Certification Exam Structure & Format
- Cost: free
- Question: 50
- Time: 75 minutes
- Pass：80% (40/50)
- Retake: 24h
- Validity: 1 year
- Exam question language: Multiple languages.
- Exam Links：https://skillshop.docebosaas.com/learn/courses/14810/google-analytics-certification/lessons/31258/google-analytics-certification
Top 10 GA4 Certification Questions & Answers
The structure of each question:
[Number]. [Question text]
Answer: [Correct answer]
- ✅ [Correct answer] — Explanation of why this is correct
- ❌ [Wrong option 1] — Brief explanation of why this is wrong
- ❌ [Wrong option 2] — …
- ❌ [Wrong option 3] — …
💡 Pro tip: Practical advice beyond the exam question
1. Which feature controls how long user-level data is stored in GA4?
Answer: Data retention period
- ✅ Data retention period — Controls storage duration. Default is 2 months; max is 14 months.
- ❌ Disable data collection — Stops all data collection entirely.
- ❌ Consent Mode — Manages user consent, not storage duration.
- ❌ IP address settings — Handles anonymization, not retention.
💡 Pro tip: Set retention to 14 months in Admin → Data Settings.
2. Which attribution model uses machine learning algorithms to assign credit for a conversion across multiple touchpoints?
Answer: Data-driven attribution
- ✅ Data-driven attribution — Uses machine learning algorithms to analyze user interactions and automatically assign conversion credit across different touchpoints based on their actual contribution.
- ❌ First click — Assigns 100% of the conversion credit to the first interaction in the customer journey.
- ❌ Time decay — Gives more credit to touchpoints that occur closer to the conversion.
- ❌ Last click — Assigns 100% of the conversion credit to the final interaction before the conversion.
💡 Pro tip: In GA4, Data-driven attribution (DDA) uses machine learning to evaluate conversion paths and determine how much credit each channel or touchpoint should receive. It is the default attribution model for many GA4 conversion reports.
3. If you wanted a custom dimension that reports membership status for a customer rewards program, which scope should be selected?
Answer: User
- ✅ User — Used for attributes that describe individual users, such as membership status, loyalty level, or customer type. Since membership status belongs to the user, the User scope should be selected.
- ❌ Session — Used for information related to a single visit, such as session source or campaign details.
- ❌ Event — Used for details about individual interactions, such as page views, clicks, or purchases.
- ❌ Product — Used for item-level data, such as product name, category, or price.
💡 Pro tip: In GA4, choose the custom dimension scope based on how the data is associated with the user journey. Use User-scoped dimensions for long-term user attributes that remain consistent across sessions and events.
4. If you have a mobile app, what can you use to collect and send data from the app to your Google Analytics 4 property?
Answer: Firebase SDK
- ✅ Firebase SDK — Used to integrate mobile apps with GA4 and collect app data, such as user interactions, events, and engagement metrics. GA4 app tracking is built on the Firebase platform.
- ❌ Google Ads — Used for advertising campaigns and conversion measurement, not for collecting app analytics data.
- ❌ Website tag — Used to collect data from websites, not mobile apps.
- ❌ Google Marketing Platform — Provides enterprise marketing tools but is not the SDK used to send app data to GA4.
💡 Pro tip: GA4 uses different installation methods depending on the platform: use the Google tag (Website tag) for websites and the Firebase SDK for mobile apps.
5. When enhanced measurement is enabled for your web data stream, what happens?
Answer: Additional events are collected from your website without you needing to change your website’s code
- ✅ Additional events are collected from your website without you needing to change your website’s code — Enhanced measurement automatically tracks common website interactions, such as page views, scrolls, outbound clicks, site search, video engagement, and file downloads, without requiring additional code changes.
- ❌ Events from your mobile app can be combined with your existing website data — This is related to combining web and app data within the same GA4 property, not enhanced measurement.
- ❌ Events can be associated with signed-in users to enable cross-device reporting — This requires User-ID implementation, not enhanced measurement.
- ❌ Conversion reporting for the web data stream uses machine learning to distribute credit across channels — This describes data-driven attribution, not enhanced measurement.
💡 Pro tip: In GA4, Enhanced measurement can be enabled directly in the web data stream settings. Once enabled, GA4 automatically collects additional events without modifying your website code.
6. When you create a new path exploration in Explore, what is the default setting for who can see it?
Answer: Only you can see it, but you can share it with the other users of the property in read-only mode
- ✅ Only you can see it, but you can share it with the other users of the property in read-only mode — Newly created explorations are private by default. The creator has full editing access, and the exploration can be shared with other property users with read-only access.
- ❌ Only you can see it, but you can share it with the other users of the property for them to make edits — Other users cannot edit your exploration unless they duplicate it and create their own copy.
- ❌ Anyone in your property can access it and make edits — Explorations are not automatically shared or editable by all users.
- ❌ Anyone in your property can access it in read-only mode — Explorations are private by default and must be manually shared.
💡 Pro tip: In GA4 Explore, each exploration is private by default. Use the Share option to allow other users to view your analysis, while editing rights remain with the original creator.
7. In which situation could you use the Engagement overview report in Google Analytics?
Answer: You’re interested in seeing which pages on your site are getting the most traffic
- ✅ You’re interested in seeing which pages on your site are getting the most traffic — The Engagement overview report provides insights into user engagement, including metrics such as views, engaged sessions, and the performance of pages and screens on your website or app.
- ❌ You’re interested in monitoring user activity as it is happening on your site — This is handled by the Realtime report, which shows current user activity.
- ❌ You’re interested in seeing where users are coming from before landing on your website — This information is available in Acquisition reports, which show traffic sources and user acquisition channels.
- ❌ You’d like insight into your users’ interests they’ve expressed through their online browsing and purchase activities — This is related to Demographics and user interests reports, not the Engagement overview report.
💡 Pro tip: In GA4, the Engagement overview report helps you understand how users interact with your website or app, including which pages and screens receive the most views and engagement.
8. Which approach would provide you with a predictive audience in GA4?
Answer: You create an audience of users who are likely to purchase in the next seven days
- ✅ You create an audience of users who are likely to purchase in the next seven days — Predictive audiences use Google’s machine learning models to identify users who are likely to take a specific action, such as making a purchase or churning, within a defined time period.
- ❌ You create an audience of users who started checking out but didn’t complete the purchase — This is a remarketing audience based on user behavior, not a predictive audience.
- ❌ You create an audience of users who made a purchase in the last 30 days — This is a historical audience based on past actions, not a prediction of future behavior.
- ❌ You create an audience of users who added items to their purchase wishlist — This is an interest-based behavioral audience, not a predictive audience.
💡 Pro tip: In GA4, predictive audiences are created using machine learning to identify users with a high probability of future actions, such as likely purchasers or likely churners.
9. When a visitor lands on a specific page, which option should you choose to create a new event based on the existing page_view event?
Answer: Create event
- ✅ Create event — Allows you to create a new event based on an existing event, such as using the
page_viewevent with conditions like a specific page URL or page title. This lets you track custom interactions without changing your website code. - ❌ Mark event as conversion — Used to mark an existing event as a key event/conversion, not to create a new event.
- ❌ Modify event — Used to change the parameters or conditions of an existing event, not to create a separate new event.
- ❌ Import event — Used to bring events from other sources, such as Google Analytics 4 properties or external systems, not to create events from existing website events.
💡 Pro tip: In GA4, use Create event when you want to generate a new event from an existing event. For example, you can create a homepage_view event from page_view by adding a condition such as page_location contains /home.
10. Which of these describes a data stream in Google Analytics 4?
Answer: A data stream lives within a property and is a source of data from your app or website
- ✅ A data stream lives within a property and is a source of data from your app or website — A GA4 data stream represents a data source, such as a website, iOS app, or Android app, that sends data into a GA4 property.
- ❌ A data stream lives within Explore and, once defined, can be added to any exploration — Explorations use data from a property but do not contain or define data streams.
- ❌ A data stream lives within an account and is the container for the data you collect from your apps and sites — Data streams are created inside properties, not accounts. The property is the container that collects data from multiple streams.
- ❌ A data stream lives within Reports and lets you segment and compare your data — Reports use collected data for analysis, but data streams are not part of the reporting interface.
💡 Pro tip: In GA4, a property can contain multiple data streams, including web streams and app streams. Each stream has its own Measurement ID (web) or Firebase app configuration (mobile app) to send data into GA4.
All 50 GA4 Certification Questions (Continued)
11. If you want to designate valuable events like newsletter sign-ups or purchases as important and assign them a value, how should you label these events in your GA4 property?
Answer: Conversion events
- ✅ Conversion events — Used to identify important user actions that contribute to your business goals, such as purchases, sign-ups, or lead submissions. You can mark existing events as conversions (key events) and assign values to measure their impact.
- ❌ Goals — Used in Universal Analytics (UA) to measure important actions. GA4 uses events and conversion events instead.
- ❌ Custom events — Used to create new events that are not automatically collected or recommended, but they are not necessarily marked as important business actions.
- ❌ Recommended events — Predefined events suggested by Google for specific use cases, but they are not automatically considered valuable conversions.
💡 Pro tip: In GA4, first create or collect the event, then mark it as a conversion event if it represents an important business outcome, such as a purchase, registration, or lead generation.