AD0-E207 Test Pattern & AD0-E207 Vce File

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Quiz Adobe - Trustable AD0-E207 - Adobe Analytics Architect Master Exam Test Pattern

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Adobe AD0-E207 Certification Exam is designed to test the knowledge and skills of professionals who work with Adobe Analytics. AD0-E207 exam is intended for those who have experience working as architects or consultants in the digital analytics industry. It is also suitable for those who are responsible for the implementation and management of Adobe Analytics solutions.

Adobe Analytics Architect Master Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which item must be embedded in your pages to asynchronously deploy Adobe Analytics with Launch?

A. Reference to AppMeasurement.js
B. Header code
C. Header and Footer code
D. Reports & Analytics page code

Answer: B

Explanation:
To deploy Adobe Analytics with Launch asynchronously, the necessary JavaScript library must be referenced in the header code of the HTML page. This ensures that the Launch library is loaded early in the page load process, allowing it to manage and fire tags efficiently.

NEW QUESTION # 20
A retail company is tracking the following:
* An event for clicks on navigation
* An eVar for navigation items clicked on
* A conversion syntax merchandising eVar tracking navigation as a product finding method (PFM) The company is in the beginning stages of a site redesign and wants to optimize their navigation system.
Before they can optimize, the company needs to benchmark how effectively their current navigation system brings visitors deeper into the site to find products.
Which metric should the Architect use?

A. Navigation usage rate per visit (Navigation clicks * visits)
B. (Units) -r (orders where Navigation is the PFM)
C. (Product Views with Navigation as the PFM) * (Navigation clicks)
D. Navigation click-through rate (Navigation clicks * page views)

Answer: A

Explanation:
To benchmark the effectiveness of the current navigation system, the Architect should look at the navigation usage rate per visit. This metric, calculated by multiplying the number of navigation clicks by the number of visits, provides insight into how often visitors are engaging with the navigation system on a per-visit basis. It helps to understand the relative frequency of navigation usage, which is crucial for optimizing the system and ensuring that it effectively helps users to explore the site and find products.

NEW QUESTION # 21
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?

A. The values in eVar1 are set by processing rules or Vista Rules.
B. eVar1 has classifications associated with it that parse out values based on the ':" delimiter.
C. Due to the size of the payload. this server call was sent through the POST method.
D. eVar1 was set through the data insertion API.

Answer: A

Explanation:
The difference betweeneVar1andpost_eVar1values 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,eVar1initially has no value, butpost_eVar1shows the modified value "PDP:summer
" after the application of these rules.

NEW QUESTION # 22
Which reports provides about how visitors arrive at your site? Select three.

A. Visitor profile
B. Campaigns
C. Marketing channels
D. Search Engines
E. Internal URL

Answer: A,B,E

NEW QUESTION # 23
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?

A. Deliver data via FTP through Data Warehouse
B. Download CSV from Analysis Workspace Report
C. Download Excel from Custom Report
D. Deliver data via FTP through Data Feeds

Answer: A

Explanation:
* 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.
* Explanation:
* 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).

NEW QUESTION # 24
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