Adobe AD0-E207 Exam Practice Test Instant Access

Question 1

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.)

Acart adds

Binternal searches

Ccheckouts

Dform completions

Epurchases

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 2

A company has an issue with some links on their site containing Personal Identifiable Information (Pll). For example, to access their account, users click a link that contains their first and last name.

Currently Activity Map is collecting the Pll contained in some of their links.

How should the Architect disable Activity Map?

ASet s.trackExternalLinks to false

BSet s.tracklnlineStats to false

CSet s.linkName to false

DSet s.linkURL to false

Answer : B

Business Requirement: Disable Activity Map to prevent collecting Personal Identifiable Information (PII) in links.

Method:

s.trackInlineStats: Setting this to false disables Activity Map tracking.

Explanation:

s.trackInlineStats to false: This setting stops Activity Map from tracking link clicks and capturing PII in links.

Verification: According to Adobe Analytics Activity Map documentation, disabling Activity Map by setting s.trackInlineStats to false prevents the collection of potentially sensitive data (Adobe Activity Map Documentation).

Question 3

A company wants to make their Adobe Analytics data GDPR-compliant. They collect gender and age data during registration.

Which privacy settings should the Architect apply to the two variables?

A12, DEL-PERSON. ACC-PERSON. and ID-PERSON

BI1. DEL-DEVICE, and ACC-PERSON

C12, DEL-PERSON, and ACC-PERSON

DI1. DEL-PERSON, and ACC-PERSON

Answer : C

To make Adobe Analytics data GDPR-compliant, specific privacy settings need to be applied to the variables that collect personal data. The following privacy settings are relevant:

12: This identifier is for data elements that are directly related to individuals.

DEL-PERSON: This setting indicates that the data should be deleted if requested by the user under GDPR.

ACC-PERSON: This setting allows access to the data by the individual upon request.

By applying these settings to the variables collecting gender and age data, the company ensures compliance with GDPR regulations, allowing for the necessary control and access to personal data.

Question 4

A company has a secure website that requires visitors to log in prior to accessing any content beyond the homepage. A visitor can log out manually, or their website will automatically log them out at the end of their browser session. The visitor must log back in to continue browsing.

The company has a business requirement to track the login status of their visitors.

Which three login statuses should the Architect recommend capturing? (Choose three.)

A'Unregistered / Logged Out'

B'Anonymous1

C'Registered / Logged Out'

D'Registered / Logged In'

E'Incomplete Registration'

F'Unregistered / Logged In'

Answer : A, D, E

Business Requirement: Track the login status of visitors on a secure website.

Potential Login Statuses:

'Unregistered / Logged Out': Tracks users who have not registered or have logged out.

'Anonymous': Generally used for visitors who browse without logging in, but does not apply in a secure login-required context.

'Registered / Logged Out': Important for tracking users who have accounts but are currently logged out.

'Registered / Logged In': Essential for tracking active, logged-in users.

'Incomplete Registration': Useful for identifying users who started but did not complete the registration process.

'Unregistered / Logged In': Typically not applicable as unregistered users cannot be logged in.

Explanation:

'Unregistered / Logged Out': Helps in understanding the behavior of users who visit but have not completed registration or logged out.

'Registered / Logged In': Critical for identifying and analyzing the behavior of active users.

'Incomplete Registration': Helps in identifying and addressing barriers in the registration process.

Verification: According to Adobe Analytics best practices, capturing various login statuses helps in comprehensive user behavior analysis (Adobe Analytics User Guide).

Question 5

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.)

AeVar for 'Blog Campaign'

Bs.referrer

Cs.campaign = 'Organic Social Network'

DeVar for 'Blog Post Title'

EeVar for 'Blog Share Social Network'

FEvent for 'Blog Shares'

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 6

A company "XYZ Corp" has multiple departments and would like to restrict access to data to different business groups based on their own department. What would be the correct ways of restricting the data? (Choose two.)

ACreate segments for each department and share the appropriate segment with the analyst.

BCreate a global report suite with an eVar set to the department then create virtual suites based on that eVar.

CCreate individual report suites with an eVar set to the site name then create a rollup of the suites.

DCreate individual reports suites for each department and assign each analyst the access rights.

Answer : B, D

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.

Question 7

One of the records in the data sources files does not have the same number of columns as the header record. What will be the outcome of this file upload?

AThe file is not processed due to column mismatch.

BThe file is partially processed only for the existing records.

CThe file is partially processed only for the existing columns.

DThe file is not processed due to row mismatch.

Answer : A

When uploading data source files to Adobe Analytics, it is crucial that each record has the same number of columns as the header record. If one of the records does not match the number of columns, the entire file will not be processed due to the column mismatch. This ensures data integrity and consistency in the uploaded data.

Adobe Analytics Architect Master AD0-E207 Exam Practice Test