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Adobe AD0-E207 Exam Questions
- Adobe Analytics Certifications
- Adobe Certified Expert Certifications
- 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.
Free Adobe AD0-E207 Exam Actual Questions
Note: Premium Questions for AD0-E207 were last updated On Apr. 12, 2025 (see below)
A company wants to market to more visitors via email, SMS, and print mail. They obtain contact details from visitors through their website account registration form. Their immediate business goal is to increase website account registrations.
The Architect adds the following dimensions and metrics to the Measurement Plan:
eVar for Visitor Login Status
eVar for Form Name
Event for Form Starts
Event for Forms Submitted With Errors
Event for Forms Submitted Successfully
Which two calculated metrics should the Architect add to the Measurement Plan? (Choose two.)
Business Goal: Increase website account registrations by tracking relevant metrics.
Key Dimensions and Metrics: Visitor Login Status, Form Name, Form Starts, Forms Submitted With Errors, Forms Submitted Successfully.
Calculated Metrics:
Registration Form Completion Rate: Measures the percentage of forms started that are successfully completed, providing insights into form usability and effectiveness.
Return Visitation Rate: Tracks how often visitors return but is not directly related to registration form completion.
Registered Visitor Transaction Rate: Useful for post-registration analysis but not directly for increasing registrations.
Registered Visitor Form Start Rate: Redundant as registered visitors are less relevant for new registrations.
Unregistered Visitor Registration Form Start Rate: Tracks the engagement of unregistered visitors with the registration form, crucial for understanding initial interest.
Explanation:
Registration Form Completion Rate: Essential for evaluating the effectiveness of the registration form.
Unregistered Visitor Registration Form Start Rate: Provides insights into how many new visitors are interested in registering, a direct indicator of potential registration increase.
Verification: According to Adobe's Measurement Planning documentation, these calculated metrics are vital for tracking and improving form conversion rates (Adobe Measurement Planning Guide).
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?
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.
An Architect is using dynamic variables in an Adobe Analytics implementation. eVar32 is used to collect the current page URL.
Which syntax should be used?
Business Requirement: Use dynamic variables to collect the current page URL in eVar32.
Method:
Dynamic Variable Syntax: D=cp references 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, using D=cp correctly references and captures the current page URL in eVars (Adobe Analytics Dynamic Variables Guide).
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.)
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).
A product was viewed on two different pages and was added to the cart from one of the pages. Below are the product syntax used for each page.
Page 1:
s.products = ";prod123;1;100;;evar2=merch_category1";
Page 2:
s.products = ";prod123;1;100;;evar2=merch_category2";
If the product was checked out and purchased for $100, how might revenue be attributed to eVar2 if merchandising is enabled? (Choose two.)
When merchandising is enabled in Adobe Analytics, revenue attribution can vary based on the allocation method:
Linear Allocation: Distributes revenue equally across all instances of the product view and add-to-cart events. Thus, $100 would be attributed to both merch_category1 and merch_category2.
Most Recent Allocation: Attributes the revenue to the most recent instance of the variable. Thus, $100 would be attributed to merch_category2.
This approach ensures that revenue attribution accurately reflects user interactions with products.
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