G O O G L E C E R T I F I C A T I O N
Google Analytics Individual Qualification Practice Exam
Exam Number: 1018 | Last updated April 21, 2026 | 576+ questions across 4 vendor-aligned objectives
The Google Analytics Individual Qualification exam measures whether candidates can the skills needed to work on Google Cloud in production settings. The target audience includes analysts, marketers, and product managers who configure and interpret Google Analytics 4 for web and app properties. Passing candidates have shown they can reason about trade-offs and pick the right service for a given constraint.
Heavy-weighted areas define where study time pays back fastest: 30% targets Google Analytics 4 Fundamentals (event-based data model, automatic versus enhanced events, properties and data streams); 25% targets Implementation and Data Collection (Google tag, Tag Manager, custom events, user properties).
Supporting domains fill out the blueprint: 25% covers Reports and Explorations (standard reports, explorations, funnels, path analysis); 20% covers Data Analysis and Activation (audiences, BigQuery export basics, Looker Studio connection, privacy controls). Each still appears on the exam, so none can be safely skipped. Google updates exam guides regularly, so verify domain weights on the official certification page before you finalize a study plan. Candidates who time-box practice against each listed subtopic tend to outperform those who rely on passive review.
Every answer links to the source. Each explanation below includes a hyperlink to the exact Google documentation page the question was derived from. PowerKram is the only practice platform with source-verified explanations. Learn about our methodology →
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Question #1 - Google Analytics 4 Fundamentals
A web analyst familiar with Universal Analytics is moving to GA4 and asks which unit of data is the basic building block.
Which statement correctly describes the GA4 data model?
A) GA4 is based on sessions with hit types for pageviews and events
B) GA4 is based on events, and everything including pageviews is an event
C) GA4 requires manual session reconstruction in SQL
D) GA4 only supports pageviews and nothing else
Show solution
Correct answers: B – Explanation:
GA4 uses an event-based data model where every interaction, including pageviews, is an event with parameters. The sessions-plus-hit-types model was Universal Analytics. Manual session reconstruction in SQL is not required, and GA4 supports far more than pageviews. Source: Check Source
Question #2 - Implementation and Data Collection
A developer is wiring up a new marketing site and needs to deploy GA4 alongside other Google tags in a manageable way, without editing site code for every change.
Which Google product is best suited for this?
A) Google Search Console only
B) Cloud DNS records pointing at Analytics
C) A static sitemap file
D) Google Tag Manager to deploy the Google tag and events
Show solution
Correct answers: D – Explanation:
Google Tag Manager lets teams deploy and update the Google tag and events without code changes. Search Console is for organic search data. Cloud DNS does not deploy tags. A sitemap is for crawlers, not analytics. Source: Check Source
Question #3 - Google Analytics 4 Fundamentals
An organization runs a website and a mobile app and wants unified reporting across both in the same GA4 property.
Which GA4 concept enables that?
A) Adding a Web data stream and an App data stream to a single GA4 property
B) Creating two separate properties with no link
C) Using a separate Universal Analytics view for the app
D) Manually copying numbers into a spreadsheet weekly
Show solution
Correct answers: A – Explanation:
A single GA4 property can contain multiple data streams, including Web and App, which supports unified reporting. Separate properties break unification. Universal Analytics views are legacy UA and cannot measure GA4 app data. Manual spreadsheets are not a GA4 feature. Source: Check Source
Question #4 - Reports and Explorations
An analyst wants to visualize how users progress through ‘Visit product’, ‘Add to cart’, and ‘Purchase’ steps and where the biggest drop-off occurs.
Which GA4 capability fits?
A) A standard Realtime card only
B) The Admin > Account Settings page
C) Funnel exploration in the Explore section
D) The Attribution settings page
Show solution
Correct answers: C – Explanation:
Funnel exploration in GA4’s Explore section is purpose-built for multi-step conversion analysis with drop-off visualization. Realtime cards show current-minute traffic, Account Settings is administrative, and Attribution settings govern models, not funnels. Source: Check Source
Question #5 - Implementation and Data Collection
A product team wants to capture a ‘video_complete’ custom event and attach a ‘subscription_tier’ attribute to every event for logged-in users.
Which GA4 features fit these two needs?
A) Custom events for the action and user properties for the attribute
B) UA goals and view-level filters
C) Cloud Storage signed URLs
D) A negative keyword list in Google Ads
Show solution
Correct answers: A – Explanation:
Custom events capture specific actions, and user properties attach persistent user-level attributes to every event for that user. UA goals and view-level filters are legacy UA. Signed URLs and negative keyword lists are unrelated. Source: Check Source
Question #6 - Reports and Explorations
An analyst needs to discover which pages users typically view next after a specific blog article, without predefining the path.
Which GA4 capability fits?
A) Cohort report by acquisition source only
B) Path exploration in the Explore section
C) Editing the Admin Change history
D) The Realtime overview card
Show solution
Correct answers: B – Explanation:
Path exploration visualizes forward and backward user paths from any selected event without predefining the sequence. Cohort reports track retention. Change history is audit data. Realtime is current minute only. Source: Check Source
Question #7 - Data Analysis and Activation
A marketer wants to create a GA4 audience of users who viewed three or more product pages in the last seven days and activate it in Google Ads.
Which approach fits?
A) Manually export CSV and upload every day to Ads
B) Rely on Search Console impressions
C) Disable Analytics entirely
D) Build the audience in GA4 and activate it via the linked Google Ads account
Show solution
Correct answers: D – Explanation:
GA4 audiences built with event-based conditions can be activated in Google Ads when the accounts are linked. CSV uploads are not GA4 activation, Search Console is SEO data, and disabling Analytics defeats the goal. Source: Check Source
Question #8 - Google Analytics 4 Fundamentals
An analyst asks which GA4 events are collected automatically versus which require only a configuration toggle to enable additional measurement for common interactions.
Which pair of terms correctly describes those two categories?
A) Goals and filters
B) Smart goals and view filters
C) Automatically collected events and enhanced measurement events
D) Hits and dimensions
Show solution
Correct answers: C – Explanation:
GA4 distinguishes automatically collected events from enhanced measurement events, which unlock additional common interactions via a single toggle on a data stream. Goals, filters, and hits are Universal Analytics vocabulary. Source: Check Source
Question #9 - Data Analysis and Activation
An analytics lead wants to run custom SQL against raw GA4 event-level data and connect a dashboard for executives.
Which Google Cloud pattern fits?
A) Enable the GA4 BigQuery export and connect Looker Studio to BigQuery
B) Manually retype data from the GA4 UI into a slide deck
C) Screenshot reports and email them weekly
D) Rely solely on the Realtime card for executive reporting
Show solution
Correct answers: A – Explanation:
The GA4 BigQuery export exposes event-level raw data, and Looker Studio connects to BigQuery for governed dashboards. Manual retyping, screenshots, and Realtime cards do not meet an executive custom-SQL reporting need. Source: Check Source
Question #10 - Data Analysis and Activation
A privacy lead asks how GA4 reporting should continue to behave correctly when some users deny advertising and analytics consent.
Which Google capability is the right answer?
A) Fingerprinting every visitor regardless of consent
B) Consent mode (v2) combined with GA4’s conversion modeling
C) Forcing cookies on users who declined
D) Disabling all reports for the region
Show solution
Correct answers: B – Explanation:
Consent mode adjusts tag behavior based on consent signals and, combined with GA4 modeling, fills gaps for unobserved users in a privacy-safe way. Fingerprinting and forced cookies violate policy. Disabling reports is not a measurement strategy. Source: Check Source
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Exam mode & learn mode · Score by objective · Updated April 21, 2026
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What the Analytics exam measures
- Google Analytics 4 Fundamentals (30%): Apply Google Cloud practices to event-based data model, automatic versus enhanced events, properties and data streams.
- Implementation and Data Collection (25%): Apply Google Cloud practices to Google tag, Tag Manager, custom events, user properties.
- Reports and Explorations (25%): Apply Google Cloud practices to standard reports, explorations, funnels, path analysis.
- Data Analysis and Activation (20%): Apply Google Cloud practices to audiences, BigQuery export basics, Looker Studio connection, privacy controls.
How to prepare for this exam
- Review the Google Analytics Individual Qualification official exam guide end to end before you commit a study plan, so every later hour is spent against the published blueprint.
- Complete the relevant Skillshop learning path and treat its labs as non-optional rather than extra credit.
- Get hands-on practice in a Google Ads test account or sandbox property, repeating the same tasks from memory until configuration feels routine.
- Apply what you learn in real-world project experience — your day job, a volunteer project, or an open-source contribution — so the concepts stick.
- Master one objective at a time, starting with the highest-weighted domain on the blueprint and moving down from there.
- Use PowerKram learn mode with feedback and sourced links to close gaps while the answer rationale is still fresh.
- Finish with PowerKram exam mode across all objectives under realistic time pressure before you book the real exam.
Career paths and salary outlook
Holding the Google Analytics Individual Qualification certification typically supports roles such as:
- Digital Analytics Specialist: roughly $ 65,000 to $100,000 USD per year in the US market (range varies by region, years of experience, and specialization). See current data on Glassdoor.
- Marketing Analyst: roughly $ 70,000 to $110,000 USD per year in the US market (range varies by region, years of experience, and specialization). See current data on Levels.fyi.
- Product Analytics Manager: roughly $ 95,000 to $145,000 USD per year in the US market (range varies by region, years of experience, and specialization). See current data on Payscale.
Official resources
Work directly from Google’s own preparation resources and treat third-party content as a supplement: