AD0-E207 Adobe Analytics Architect Master Free Practice Exam Questions (2025 Updated)

Standard metrics in Adobe Analytics are those that come pre-configured within the platform and are commonly used across various types of implementations. These include:

Purchase: Tracks the completion of a purchase transaction.

Orders: Records the number of orders placed.

These metrics are essential for eCommerce tracking and are part of the standard set of metrics available in Adobe Analytics.

 Business Requirement: Track each step of the checkout process as separate page views in a Single Page Application (SPA).

 Configuration:

Direct Call Event: Triggered explicitly by the application code when a user moves to the next step.

s.t() beacon: Sends a page view beacon, suitable for capturing page views in SPAs.

 Explanation:

Direct Call Event: Allows developers to indicate specific points in the SPA where analytics tracking should occur.

s.t() beacon: Suitable for recording page views, capturing each step in the checkout flow as a separate page view.

 Verification: According to Adobe Launch documentation, using Direct Call Events with s.t() beacons is the recommended approach for tracking page views in SPAs (Adobe Launch Implementation Guide).

To restrict data access to different business groups based on their department, the following methods can be used:

Create a global report suite with an eVar set to the department then create virtual suites based on that eVar: This method allows for a single comprehensive dataset that can be segmented into virtual report suites for each department, making data management and reporting easier.

Create individual report suites for each department and assign each analyst the access rights: This approach provides complete data isolation for each department, ensuring that analysts only have access to their respective department's data.

Both methods ensure that data access is properly restricted and managed according to departmental boundaries.

 Business Requirement: Ensure GDPR compliance for a new eVar tracking a site feature.

 Additional Configuration:

Data Governance Labels: Essential for ensuring that the data collected complies with GDPR by appropriately labeling the data for privacy and security.

 Explanation:

Data Governance Admin panel: Adding governance labels to the new eVar helps categorize and manage data according to GDPR compliance standards.

 Verification: According to Adobe Analytics GDPR compliance documentation, adding governance labels in the Data Governance Admin panel is a critical step for ensuring data privacy and compliance (Adobe Analytics GDPR Compliance Guide).

 Business Requirement: Use dynamic variables to collect the current page URL in eVar32.

 Method:

Dynamic Variable Syntax:D=cpreferences the current page URL.

 Explanation:

s.eVar32="D=cp": This syntax tells Adobe Analytics to dynamically populate eVar32 with the current page URL.

 Verification: According to Adobe Analytics dynamic variables documentation, usingD=cpcorrectly references and captures the current page URL in eVars (Adobe Analytics Dynamic Variables Guide).

 Business Requirement: Report on Facebook and Twitter activity separately in Marketing Channel reports.

 Configuration Steps:

Identify Social Media Traffic: Create a rule to identify all social media traffic.

Split Facebook and Twitter Traffic: Create rules to distinguish traffic from Facebook and Twitter based on tracking codes.

 Explanation:

First Rule for Social Media Traffic: This rule captures all social media traffic under a single category.

Second Rule to Split Traffic: Additional rules to distinguish between Facebook and Twitter based on specific tracking codes ("socialjb" for Facebook and "sociaLtw" for Twitter).

 Verification: According to Adobe's documentation on Marketing Channel Processing, using multiple rules to identify and then split traffic ensures detailed and accurate reporting (Adobe Analytics Marketing Channel Processing Rules Guide).

The difference betweeneVar1andpost_eVar1values indicates that processing rules or Vista Rules are being applied. Processing rules or Vista Rules can modify the values of variables after the initial data collection. In this case,eVar1initially has no value, butpost_eVar1shows the modified value "PDP:summer

" after the application of these rules.

Processing Rules in Adobe Analytics are versatile and can be used for various purposes:

Clean up misspelled site sections: Corrects misspelled values in data collection to ensure accurate reporting.

Populate campaign with a query string parameter: Extracts query string parameters and uses them to populate campaign variables.

Copy an eVar into a prop to see pathing: Allows copying values from an eVar to a prop to enable pathing analysis on that variable.

These rules help maintain data quality and flexibility in reporting.

Introduction: The requirement is to use a value in both a prop (for pathing reports) and an eVar (for persistence) while minimizing the size of the server call.

Explanation of Methods:

A. A VISTA rule to copy the prop value to the eVar:

VISTA (Visitor Identification, Segmentation & Transformation Architecture) rules are server-side rules that can copy values between variables. However, they are complex, incur additional costs, and do not reduce server call size.

 Business Requirement: The company wants to track shares of blog posts to social networks and report on the total number of shares and the specific networks used.

 Variables and Metrics Needed:

eVar for "Blog Post Title": Captures the title of the blog post being shared.

eVar for "Blog Share Social Network": Captures the social network to which the post is shared.

Event for "Blog Shares": Captures the number of times a post is shared.

 Explanation:

eVar for "Blog Post Title": This variable allows reporting on the specific blog posts being shared.

eVar for "Blog Share Social Network": This variable tracks which social networks the posts are shared to, enabling detailed reporting.

Event for "Blog Shares": This metric captures the total number of shares, providing a quantifiable measure of sharing activity.

 Verification: According to Adobe Analytics best practices for tracking social sharing, using specific eVars for post titles and social networks along with an event for total shares ensures comprehensive reporting (Adobe Analytics Implementation Guide).

 Business Requirement: The company wants to track successful and unsuccessful form submissions and identify the types of forms being submitted.

 Variables and Metrics Needed:

Event for "Forms Submitted with Errors": Captures instances where forms are submitted but contain errors.

eVar for "Form Type": Identifies the type of form being submitted, which is crucial for analyzing different form performance.

Event for "Forms Submitted Successfully": Captures instances where forms are successfully submitted.

 Explanation:

Event for "Forms Submitted with Errors": Essential for understanding and improving form completion processes by identifying where users encounter issues.

eVar for "Form Type": Provides detailed breakdowns of form performance by type, aiding in targeted improvements.

Event for "Forms Submitted Successfully": Measures the completion rate of forms, which is critical for business metrics.

 Verification: According to Adobe Analytics best practices, using specific events for tracking successful and error submissions alongside eVars for categorization provides comprehensive insights (Adobe Analytics Implementation Guide).

To deploy Adobe Analytics with Launch asynchronously, the necessary JavaScript library must be referenced in the header code of the HTML page. This ensures that the Launch library is loaded early in the page load process, allowing it to manage and fire tags efficiently.

 Business Requirement: Distinguish between SMS and email campaigns using the "cid" query string parameter.

 Configuration Steps:

Identify SMS Links: Using the query string parameter "cid" ending with "-txt".

Processing Order: Ensuring the SMS channel is processed before the email channel.

 Explanation:

Query String Parameter "cid" Ends with "-txt": This setting ensures that any link containing "cid" ending with "-txt" is identified as an SMS link.

Processing Order: Placing the SMS channel rule above the email channel ensures that SMS links are correctly categorized before the system checks for email links.

 Verification: According to Adobe's Marketing Channel Processing Rules documentation, properly configuring query string parameters and processing order is crucial for accurate channel attribution (Adobe Analytics Marketing Channel Processing Rules Guide).

 Business Requirement: Enable a two-way integration between Adobe Audience Manager (AAM) and Adobe Analytics.

 Configuration Needs:

List Variable: Used to bring in multiple AAM segments into Adobe Analytics.

Server-Side Forwarding: Ensures that data flows between Adobe Analytics and AAM seamlessly.

 Explanation:

List Variable: Suitable for handling multiple segments and their associations with other metrics within Adobe Analytics.

Server-Side Forwarding: This method ensures real-time data exchange between the platforms, enabling both to use each other's data for enhanced segmentation and reporting.

 Verification: According to Adobe's documentation on integrating Audience Manager and Analytics, using list variables with server-side forwarding is the recommended approach for robust two-way integration (Adobe Audience Manager and Analytics Integration Guide).