Free GA4 sample questions

Correct answer: Configure event-scoped Custom Dimensions for the 'content_category' and 'content_format' event parameters.

This is the correct approach. When you send custom parameters with an event, you must register them as custom dimensions (or metrics) in the GA4 UI to use them in reports and analysis. Since the category and format describe the specific page view event, an event-scoped dimension is the appropriate choice.

Correct answer: False

This is correct. Custom dimensions in GA4 cannot be deleted. They can only be archived, which removes them from the UI but does not free up the limit. This makes careful planning of custom dimensions essential to avoid using up the available slots.

Correct answer: Add 'Session source / medium' as the Breakdown dimension in the Tab Settings.

This is the correct and most efficient method. Using the 'Breakdown' dimension in a Funnel exploration splits the data for each step by the values of the chosen dimension (in this case, 'Session source / medium'). This allows the analyst to see the completion and drop-off rates for each traffic source side-by-side within the same funnel view.

Correct answer: Navigate to the Data Stream settings, define internal traffic by creating an IP address rule, and then activate the Internal Traffic data filter.

This is the correct, standard procedure in GA4. It involves two steps: 1) Defining what constitutes internal traffic (by IP address) in the Data Stream settings, which adds a 'traffic_type=internal' parameter to events. 2) Activating the pre-configured 'Internal Traffic' data filter in the Data Settings, which tells GA4 to exclude any events with that parameter.

Correct answers: To enable cross-device reporting and remarketing capabilities.; To unlock enhanced demographic and interest data in reports.

This is a core function of Google Signals. It uses data from users signed into Google to associate session data from different devices to the same user, enabling unified cross-device user journey analysis and advertising.

Google Signals populates demographic and interest reports with aggregated, anonymized data from signed-in Google users, providing richer insights into audience characteristics.

Correct answers: Clicks from links in a desktop email client like Microsoft Outlook.; Traffic from a secure (HTTPS) site to a non-secure (HTTP) site.; A URL redirect on your server that is not configured to pass UTM parameters.

Desktop clients often do not pass referrer information, so clicks from untagged links in these applications will appear as Direct traffic. This is why UTM tagging for email campaigns is crucial.

For security reasons, browsers strip the referrer data when a user navigates from a secure HTTPS page to a non-secure HTTP page. The resulting traffic will be classified as Direct.

If a marketing link with UTM parameters (e.g., yoursite.com/promo?utm_source=...) hits a server-side redirect that sends the user to the final page (e.g., yoursite.com/new-promo) without preserving the URL parameters, the attribution data is lost and the session is recorded as Direct.

Correct answer: Measurement Protocol

The Measurement Protocol for GA4 allows developers to send raw event data directly to Google Analytics servers via HTTP requests. It is specifically designed for tracking interactions in environments where the standard gtag.js or Firebase SDKs are not available, such as servers, CRMs, or IoT devices like a point-of-sale terminal.

Correct answer: Set a User Property for 'membership_level' and register a corresponding user-scoped custom dimension.

This is the correct method. User Properties are designed to capture attributes that describe a user. Once a User Property is set, it is automatically associated with all subsequent events for that user. Registering it as a user-scoped custom dimension makes it available for reporting and audience building.

Correct answer: Default: Data-driven; Recommended: Data-driven

Correct. GA4 uses Data-driven attribution as the default model for all properties. It is also the recommended model because it uses machine learning to assign credit to marketing touchpoints throughout the entire user journey, providing a more holistic view than rule-based models.

Correct answer: The property must have at least 1,000 users who triggered the relevant positive event (e.g., purchase) and 1,000 users who did not, over a 28-day period.

This is the correct eligibility threshold. To train the models, GA4 needs a minimum number of positive examples (e.g., 1,000 purchasing users) and negative examples (e.g., 1,000 non-purchasing users) within a 28-day window. These thresholds must be met consistently for the property to remain eligible.