Adobe AD0-E207 Adobe Analytics Architect Master Exam Practice Test

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Total 50 questions
Question 1

A company is using Segment IQ to compare mobile and desktop traffic.

The metrics of interest to them are as follows:

* Page Views/Visitors

* Searches/Visitors

* Carts/Visitors

* Cart Additions/Visitors

* Revenue/Visitors

The differential score when comparing each metric with each segment is high at 0.9 or greater. What does this differential score indicate?



Answer : A

Segment IQ in Adobe Analytics is used to compare different segments of traffic to determine the statistical significance of differences between metrics. A high differential score of 0.9 or greater indicates a high statistical significance difference between the metrics of the two segments. This means that the differences observed in metrics like Page Views/Visitors, Searches/Visitors, Carts/Visitors, Cart Additions/Visitors, and Revenue/Visitors are not due to random chance but are significant and meaningful.


Question 2

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).


Question 3

An Architect needs to track a site feature with a new eVar and make sure that the data is GDPR compliant. The Architect has already configured the new eVar in the Report Suite Admin panel. Which additional task should the Architect perform?



Answer : C

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).


Question 4

An Architect needs to update mobile data collection to comply with company and legal guidelines (GDPR, CCPA). The Architect discovers the Android version of their mobile application tracks the latitude, longitude, and iBeacon dat

a. Tracking specific geographic data is now considered out of compliance with company guidelines, and must be updated.

Which call must be removed?



Answer : D

Business Requirement: Ensure compliance with GDPR and CCPA by updating mobile data collection practices.

Tracking Methods:

getGeoCoordinates: Retrieves geographical coordinates but is typically not the method used for tracking purposes.

trackState: Tracks the state of the application and user interaction.

trackAction: Tracks specific user actions within the application.

trackLocation: Explicitly tracks geographic location data, including latitude, longitude, and iBeacon data.

Explanation:

trackLocation: Must be removed to comply with regulations as it directly tracks and transmits geographic location data.

Verification: According to Adobe Mobile Services documentation, removing the trackLocation call ensures compliance with data protection regulations by eliminating the collection of sensitive geographic data (Adobe Mobile SDK Guide).


Question 5

An Architect has defined the following tracking specifications:

* A userlD variable must be set in the data layer

* The userlD value must be mapped to eVar5

* The userlD value must be used as the Adobe visitor identification method.

The tagging engineer confirms that Adobe Launch is configured as requested.

An Analyst notices that the eVar5 report is not being populated.

The Architect can see that the userlD data object is populated in the data layer after the page loads.

What is causing this problem?



Answer : A

Business Requirement: Ensure userID is set in the data layer and mapped to eVar5, and used for visitor identification.

Issue Identification:

The userID data object must be available in the data layer before the Adobe Launch rule executes.

Explanation:

visitorID is not available in the data layer when the Adobe Launch rule runs: If the visitorID is not present in the data layer at the time the rule executes, the mapping to eVar5 will not occur, resulting in an empty eVar5 report.

Verification: According to Adobe Launch documentation, the timing of data layer availability is crucial for rule execution. Ensuring data is present before rules execute is necessary for accurate data capture (Adobe Launch Implementation Guide).


Question 6

An Architect is unable to analyze all internal search terms for the previous month because 15% of the internal search terms fall into "(low traffic)".

Which two extraction methods will show all search terms? (Choose two.)



Answer : C, D

Business Requirement: Analyze all internal search terms, including those falling into the '(low traffic)' category.

Extraction Methods:

Data Warehouse: Provides comprehensive data extraction capabilities, allowing for the retrieval of detailed and granular data that might not be fully visible in standard reports.

Data Feeds: Offers raw data extraction capabilities, enabling the capture of all search terms without the aggregation and sampling that can occur in standard reports.

Data Warehouse: Can export detailed data, bypassing the '(low traffic)' limitation by accessing the raw, unsampled data.

Data Feeds: Provides a way to extract raw data directly from Adobe Analytics, ensuring that all search terms, including those with low traffic, are included.

Verification: According to Adobe Analytics documentation, using Data Warehouse and Data Feeds are recommended methods for extracting comprehensive datasets, including detailed search terms (Adobe Analytics Data Warehouse Guide, Data Feeds Documentation).


Question 7

In reviewing data from a Data Feeds request, an Architect sees that on the same hit, eVar1 has no value but post_eVarl has the value: PDP:summer:sunglasses

Why are these values different?



Answer : B

The difference between eVar1 and post_eVar1 values 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, eVar1 initially has no value, but post_eVar1 shows the modified value 'PDP:summer

' after the application of these rules.


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Total 50 questions