Adobe Analytics Architect Master AD0-E207 Exam Practice Test

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Total 50 questions
Question 1

An automobile manufacturer recently integrated Adobe Audience Manager (AAM) with Adobe Analytics.

The business wants to bring in multiple AAM segments inside analytics to associate other metrics with the AAM segments. Also, AAM needs analytics data to create first party traits.

Which configuration should be used to enable a two-way integration?



Answer : D

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).


Question 2

A company wants the Architect to design tracking for a new blog post sharing feature that the company will add to their existing blog pages. This feature allows the visitor to share blog posts to their own social accounts.

The company wants the ability to report on:

* The total number of times each blog post was shared from the site

* The total number of shares to each social network

* The social networks to which each blog post was shared

Which three variables should the Architect use? (Choose three.)



Answer : D, E, F

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).


Question 3

What are three uses of Processing Rules? (Choose three.)



Answer : A, B, C

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.


Question 4

A coworker creates the calculated metric named "Orders / Visits" in Adobe Analytics to determine the percentage of visits that purchased something on the company's website.

The coworker includes the calculated metric in the Products report. The coworker notices that the sum of the orders for the products is greater than the total orders shown in the report.

What should the Architect do?



Answer : D

The issue arises because the calculated metric 'Orders / Visits' is not aggregating correctly at the product level in the Products report. To resolve this, the Architect should create a calculated metric that uses the Total versions of the Orders and Visits metrics. This ensures that the calculation is performed on the overall totals rather than individual line items, providing an accurate percentage of visits that resulted in purchases.


Question 5

During a website audit, an Architect finds that the checkout pages on the site have been redesigned to include a tag management system that deploys Adobe Analytics.

The rest of the site has Adobe Analytics hard-coded onto the site. Both implementations use the same AppMeasurement version and are on the same domain.

How will this approach affect the reporting?



Answer : D

When different parts of a website use different methods to implement Adobe Analytics (hard-coded vs. tag management system), it can lead to inconsistencies in data reporting. This is because the two methods might not be perfectly synchronized in terms of how they handle data collection, processing rules, or variables. Despite using the same AppMeasurement version and operating on the same domain, differences in the deployment method can cause issues such as discrepancies in variable persistence, tracking cookies, or firing sequence of the analytics calls. These inconsistencies can make it difficult to maintain and accurately report on the collected data.


Question 6

While preparing for a new analytics implementation for a site, you begin conducting stakeholder interviews. Part of the conversation includes defining KPIs, including custom success events.

Which are two examples of custom success events on a site? (Choose two.)



Answer : A, D

Custom success events in Adobe Analytics are specific to the business goals and can vary widely depending on the site's purpose. Examples of such events typically include actions that are significant indicators of user engagement or progress through a conversion funnel:

Cart Adds: Tracking how often users add items to their cart.

Form Completions: Monitoring the number of users who complete and submit forms on the site.

These are distinct from more generic metrics like purchases or checkouts which are often predefined standard events in many analytics implementations.


Question 7

A new Adobe Analytics implementation recently went live on an ecommerce site.

An Analyst notices some problems during the analysis of the product details pages for Electronics products:

* The expected "PDP" value does not appear in the Site Section dimension.

* No product views are associated with these pages.

* The expected product category of "Electronics" is not populating eVarlO.

Which parameters should the Architect see in browser network requests when the solution operates correctly?



Answer : C

Business Requirement: Ensure correct tracking of product detail pages for Electronics products.

Expected Parameters:

events=prodView: Tracks the product view event.

ch=PDP: Sets the site section to 'PDP' (Product Detail Page).

eVar10=Electronics: Captures the product category.

events=prodView: Ensures product views are recorded.

ch=PDP: Ensures the site section is correctly identified as 'PDP'.

eVar10=Electronics: Ensures the product category is captured correctly.

Verification: According to Adobe Analytics documentation on event tracking and eVars, using these parameters ensures accurate and detailed tracking of product detail pages (Adobe Analytics Implementation Guide).


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Total 50 questions