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Adobe AD0-E207 Exam Questions

Exam Name: Adobe Analytics Architect Master Exam
Exam Code: AD0-E207
Related Certification(s):
  • Adobe Analytics Certifications
  • Adobe Certified Expert Certifications
Certification Provider: Adobe
Actual Exam Duration: 100 Minutes
Number of AD0-E207 practice questions in our database: 50 (updated: Jul. 13, 2024)
Expected AD0-E207 Exam Topics, as suggested by Adobe :
  • Topic 1: Discovery: In this section of the exam, the focus is on the assessment of the ability of candidates to perform thorough website evacuation, interpret and translate client needs into comprehensive business requirements, and develop suitable measurement frameworks for given situations.
  • Topic 2: Solution design: This part of the exam covers how to transform business requirements into practical variables and essential metrics and demonstrate proficiency in setting up and administering report suite configurations.
  • Topic 3: Post-implementation: In this section, the focus is on how to confirm tracking accuracy using web browser developer tools and Adobe reporting systems. It also covers how to ensure compliance with defined specifications. Finally, it covers comprehension of processes for handling data extraction and maintaining data relationships.
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Free Adobe AD0-E207 Exam Actual Questions

Note: Premium Questions for AD0-E207 were last updated On Jul. 13, 2024 (see below)

Question #1

A Solution Design Reference (SDR) is built for architectsite.com. The site has the following business requirements:

* Report on newsletter sign-up attempts (event1) by URL

* View the user journey through the site by page name

* Track which site section successful newsletter sign-ups (event2) occur

Which query string parameters must be seen in the network request to meet the requirements?

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Correct Answer: D

To meet the specified business requirements, the query string parameters in the network request must include:

events=event1,event2: This captures both newsletter sign-up attempts (event1) and successful sign-ups (event2).

vl=architectsite.com: This identifies the URL.

pageName=homepage: This tracks the user journey through the site by page name.

ch=home: This captures the site section where the successful newsletter sign-ups occur.

The combination of these parameters ensures that all the required data points are collected and reported accurately.


Question #2

A company has an email marketing tool that is used for both SMS and email.

The tool generates the following campaign URLs:

SMS link: www.website.com?cid=em:campaign_name-txt Email link: www.website.com?cid=em:campaign_name

How should the Architect configure Marketing Channel Processing Rules to identify the SMS channel?

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Correct Answer: C

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).


Question #3

A company has a Tableau Dashboard that includes data from various sources including Adobe Analytics. The dashboard is

updated weekly.

Which method should an Architect use to extract the data to be used with the dashboard?

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Correct Answer: C

Business Requirement: Extract data for weekly updates to a Tableau Dashboard from Adobe Analytics.

Recommended Method:

Deliver data via FTP through Data Warehouse: Provides a robust and automated method for exporting large datasets on a scheduled basis.

Data Warehouse: Allows for the extraction of large and complex datasets suitable for integration with external BI tools like Tableau.

FTP Delivery: Automates the data export process, ensuring timely updates to the Tableau Dashboard.

Verification: According to Adobe Analytics Data Warehouse documentation, using FTP delivery through Data Warehouse is the preferred method for exporting large datasets for external use (Adobe Analytics Data Warehouse Guide).


Question #4

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?

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Correct 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 #5

An Architect needs to create a segment of users that started a visit from a campaign and completed an order.

A specific product demo page and coupon page can be viewed in any order between the landing page and the order confirmation page.

What should the Architect use to meet the requirements?

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Correct Answer: A

In Adobe Analytics, non-sequential segments allow for the inclusion of conditions that do not necessarily occur in a specific order. Since the specific product demo page and coupon page can be viewed in any order between the landing page and the order confirmation page, non-sequential containers are the appropriate choice. They allow for the creation of a segment where users must have started their visit from a campaign and completed an order, without enforcing a strict sequence for intermediate steps.



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