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Question 1. Which of the following best describes the primary difference between Universal Analytics (UA) and GA4? A) UA uses a session‑based model while GA4 uses an event‑based model B) UA tracks only pageviews, GA4 tracks only clicks C) UA stores data in BigQuery by default, GA4 does not D) UA supports cross‑device tracking, GA4 does not Answer: A Explanation: GA4 replaces the session‑centric data model of UA with an event‑centric model where every interaction is recorded as an event. Question 2. In GA4, which metric indicates the proportion of engaged sessions relative to total sessions? A) Bounce Rate B) Engagement Rate C) Conversion Rate D) Session Duration Answer: B Explanation: Engagement Rate is GA4’s metric that measures the percentage of sessions that were engaged (lasting ≥10 seconds, had a conversion, or had 2+ pageviews). Question 3. When planning a measurement strategy, the first step is to: A) Set up data streams B) Define business objectives and goals C) Create custom dimensions D) Link Google Ads Answer: B
Explanation: Measurement planning starts with clear business objectives; all tracking decisions flow from these goals. Question 4. Which of the following is NOT a recommended practice for organizing GA4 accounts and properties? A) One property per website or app B) Using the same measurement ID for multiple unrelated sites C) Grouping related properties under a single account D) Naming properties consistently with business units Answer: B Explanation: Sharing a measurement ID across unrelated sites mixes data and defeats the purpose of separate properties. Question 5. A GA4 data stream for a mobile app requires which identifier? A) Measurement ID (G‑XXXXXXXXXX) B) Tracking ID (UA‑XXXXXX‑X) C) App ID from Firebase D) Server‑side Tag ID Answer: C Explanation: Mobile app streams are linked to a Firebase App ID, which GA4 uses to collect app data. Question 6. Which tag is used to implement GA4 via direct code insertion? A) gtag.js B) analytics.js C) ga.js D) tagmanager.js
C) purchase D) sign_up Answer: A Explanation: The automatic “scroll” event is part of GA4’s Enhanced Measurement and is collected by default. Question 10. To track a video play event that is not captured automatically, you should create a: A) Recommended event B) Custom event C) Automatic event D) Enhanced measurement event Answer: B Explanation: Video interactions not covered by Enhanced Measurement require a custom event implementation. Question 11. When naming a custom event in GA4, which convention helps maintain consistency? A) Use all caps and spaces (e.g., “VIDEO PLAY”) B) Prefix with “custom_” (e.g., “custom_video_play”) C) Use snake_case and lowercase (e.g., “video_play”) D) Include the property ID in the name Answer: C Explanation: GA4 recommends lowercase snake_case for event names to ensure readability and avoid conflicts. Question 12. How do you mark an existing event as a conversion in GA4? A) Edit the event name to include “_conversion”
B) Enable the “Mark as conversion” toggle in the Events settings C) Create a new custom dimension called “conversion” D) Add a parameter “conversion=true” to the event payload Answer: B Explanation: GA4 provides a simple toggle in the Events interface to designate any event as a conversion. Question 13. Which scope is appropriate for a custom dimension that captures a user’s subscription tier (e.g., free, premium)? A) Event‑scoped B) User‑scoped C) Item‑scoped D) Session‑scoped Answer: B Explanation: Subscription tier is a characteristic of the user, so it should be defined as a user‑scoped custom dimension. Question 14. An event parameter that varies for each product in a purchase is best stored as: A) Event‑scoped custom dimension B) User‑scoped custom metric C) Item‑scoped custom dimension D) Session‑scoped parameter Answer: C Explanation: Item‑scoped custom dimensions are designed for attributes that differ per item in an event, such as product SKU or category.
Explanation: GA4’s Cost Data Import lets you upload external advertising cost information to enhance ROI analysis. Question 18. To exclude internal traffic from GA4 reports, you should configure: A) A custom dimension named “internal” B) A data filter for internal IP addresses C) An audience called “Internal Users” D) A segment in the Exploration tool Answer: B Explanation: Data filters applied to IP ranges prevent internal traffic from being processed and stored. Question 19. Which of the following can be created in GA4 to calculate “Revenue per User”? A) Custom dimension B) Calculated metric C) Custom event D) Audience definition Answer: B Explanation: Calculated metrics allow you to define formulas such as Revenue ÷ Users to derive new insights. Question 20. Linking GA4 with Google Ads enables which of the following capabilities? A) Importing offline conversions only B) Automatic creation of Search Console reports C) Sharing audiences for remarketing and importing GA4 conversions into Ads D. Direct export of raw data to Google Sheets
Answer: C Explanation: The integration shares audiences and imports GA4 conversion events into Google Ads for bidding and reporting. Question 21. When you link GA4 to BigQuery, which of the following statements is true? A) Data is exported in real‑time with no latency B) Only aggregated data is exported, not raw events C) Raw event data is exported daily (or continuously for 360) for advanced analysis D) Exported data can be edited directly in BigQuery and synced back to GA Answer: C Explanation: GA4 exports raw event-level data to BigQuery daily (standard) or continuously (360), enabling deep analysis. Question 22. In the GA4 interface, which report provides an overview of the most recent 30 minutes of activity? A) Realtime Report B) Life Cycle – Acquisition C) User Explorer D) Funnel Exploration Answer: A Explanation: The Realtime Report shows live activity, typically covering the last 30 minutes. Question 23. Which Life Cycle report focuses on the steps users take after they first visit your site, such as events and conversions? A) Acquisition B) Engagement
B) Funnel Exploration C) Path Exploration D) Cohort Exploration Answer: B Explanation: Funnel Exploration lets you define sequential steps and see conversion rates between them. Question 27. When creating a Segment Overlap exploration, what does the overlap area represent? A) Users who performed all selected events simultaneously B) Users who belong to multiple defined segments at the same time C) Users who have the highest revenue D) Users who were excluded from all segments Answer: B Explanation: The overlap visualizes users who satisfy more than one segment condition. Question 28. In a Cohort Exploration, the “Cohort size” metric shows: A) Number of users who performed a specific event in the selected period B) Total sessions generated by the cohort C) Revenue generated by the cohort D) Number of new users acquired during the cohort’s start date Answer: A Explanation: Cohort size counts the users who entered the cohort based on the defined criteria (e.g., first‑session date). Question 29. Which of the following UTM parameters identifies the specific marketing campaign?
A) utm_source B) utm_medium C) utm_campaign D) utm_term Answer: C Explanation: utm_campaign is used to label the campaign name or promotion. Question 30. If you want to group traffic from “facebook.com” and “instagram.com” under a single channel, you would configure: A) A custom dimension B) A data filter C) A custom channel grouping D) An audience Answer: C Explanation: Custom channel groupings let you define rules to combine multiple sources into one channel. Question 31. Data‑driven attribution in GA4 differs from rule‑based models because it: A) Gives 100 % credit to the last click B) Uses machine learning to assign credit based on observed conversion paths C) Assigns equal credit to all touchpoints D) Ignores organic search traffic Answer: B Explanation: Data‑driven attribution leverages ML to evaluate the contribution of each touchpoint, unlike static rule‑based models.
Question 35. What does the “Event count per user” metric indicate? A) Average number of sessions per user B) Average number of events triggered by each user in the selected period C) Total events divided by total pageviews D) Number of unique events recorded Answer: B Explanation: It measures how many events, on average, each user generated. Question 36. To ensure GDPR compliance, which GA4 feature should you enable? A) Data retention set to “Do not automatically delete” B) Google Signals activation C) IP anonymization (enabled by default) and Consent Mode integration D. Unlimited data export to BigQuery Answer: C Explanation: Consent Mode works with IP anonymization to respect user consent choices under GDPR. Question 37. Which dimension would you use to differentiate traffic from “iPhone” versus “Android” devices? A) Device Category B) Operating System C) Platform D) Mobile Device Model Answer: B Explanation: The Operating System dimension captures iOS vs. Android distinctions.
Question 38. In GA4, the “session_start” event is: A) An automatically collected event that marks the beginning of a session B) A custom event you must implement manually C) Only recorded for mobile app streams D) Deprecated in favor of “user_engagement” Answer: A Explanation: “session_start” is automatically collected by GA4 for each new session. Question 39. Which of the following is true about the GA4 “User Explorer” report? A) It shows personally identifiable information of individual users B) It presents pseudonymous user IDs with their activity timeline C) It only works for users with a User‑ID set D) It aggregates data at the audience level only Answer: B Explanation: User Explorer displays anonymized user IDs and their event history while preserving privacy. Question 40. When using the Funnel Exploration, what does the “Drop‑off” column represent? A) Number of users who completed the step B) Percentage of users who left the funnel before reaching the next step C) Total revenue generated at that step D) Number of sessions that included the step Answer: B Explanation: Drop‑off indicates the proportion of users who exited the funnel before proceeding.
Explanation: Google Signals aggregates data from users who have turned on Ads Personalization, enhancing cross‑device reporting. Question 44. In GA4, the “Event parameter” “value” is typically used for: A) Storing the user’s email address B) Capturing monetary value associated with an event (e.g., purchase amount) C) Defining the event’s timestamp D) Indicating the event’s category Answer: B Explanation: The “value” parameter is commonly used for monetary amounts, scores, or other numeric metrics tied to an event. Question 45. Which of the following is a recommended approach to avoid high‑cardinality issues in GA4 custom dimensions? A) Use user‑scoped dimensions for every attribute B) Limit the number of unique values by categorizing or hashing high‑cardinality data before sending C) Store raw IDs directly as dimension values D) Disable data sampling Answer: B Explanation: High‑cardinality dimensions can cause processing limits; categorizing or hashing reduces unique values. Question 46. When configuring a data filter to exclude developer traffic, which condition would you typically use? A) Exclude traffic where hostname contains “dev.” B) Include traffic where device category equals “desktop” C) Exclude traffic where user‑agent contains “Googlebot”
D) Include traffic where IP address matches internal range Answer: A Explanation: Filtering by hostname (e.g., “dev.”) effectively removes development environment traffic. Question 47. In the GA4 “Monetization” report, the “Item name” dimension is associated with which scope? A) Event‑scoped B) User‑scoped C) Item‑scoped D) Session‑scoped Answer: C Explanation: “Item name” is an item‑scoped parameter tied to e‑commerce items within an event. Question 48. Which of the following statements about GA4’s sampling is correct? A) GA4 never samples data, regardless of query size B) Sampling only occurs in the Exploration tool for very large data sets C) Sampling is applied to all standard reports above 10 million sessions D) Sampling is controlled by the data retention setting Answer: B Explanation: GA4 generally provides unsampled data, but the Exploration tool may sample when queries exceed processing limits. Question 49. To see which keywords drove organic traffic, you must link GA4 with: A) Google Ads B) Google Search Console
B) Data import schedule C) Property time zone D) Event name length limit Answer: A Explanation: The data retention setting determines the length of time GA4 keeps user‑level data. Question 53. When you enable “Cross‑domain measurement” in GA4, you must: A) Add the destination domain to the referral exclusion list B) Set the same measurement ID on both domains and configure linker parameters in gtag or GTM C) Use a separate property for each domain D) Disable Google Signals Answer: B Explanation: Cross‑domain measurement requires the same measurement ID and the linker to pass the client ID across domains. Question 54. Which of the following is NOT a default channel grouping in GA4? A) Organic Search B) Direct C) Paid Social D) Affiliate Referral Answer: D Explanation: “Affiliate Referral” is not a default channel grouping; it would need to be created manually. Question 55. In GA4, the “User‑engagement” event is: A) Automatically fired when a user spends at least 10 seconds on a page or triggers another event
B) Only sent for mobile app streams C) A custom event you must define manually D) Deprecated in favor of “session_start” Answer: A Explanation: “user_engagement” is automatically generated when a session meets engagement criteria. Question 56. To track a downloadable PDF link as an event, which Enhanced Measurement option should be enabled? A) File downloads B) Scroll tracking C) Outbound clicks D) Form interactions Answer: A Explanation: Enhanced Measurement includes automatic detection of file downloads (e.g., .pdf, .docx). Question 57. Which GA4 audience type can be created based on predicted probability of purchase within the next 7 days? A) Demographic audience B) Predictive audience (e.g., Purchase probability) C) Retention audience D) Custom dimension audience Answer: B Explanation: Predictive audiences use machine‑learning models to target users likely to convert. Question 58. When you see “(other)” as a value in a dimension, it most likely indicates:
