Adobe Analytics Architect Master AD0-E207 Exam Practice Test

Page: 1 / 14
Total 50 questions
Question 1

An Architect is implementing Adobe Analytics across 3 different websites using one Adobe Launch property. Each website is on its own domain and has its own report suite in Adobe Analytics.

What should the Architect do to determine the report suite IDs when pages load?



Answer : D

Business Requirement: Determine the appropriate report suite IDs for different websites using one Adobe Launch property.

Method:

Data Element: Utilizes a data element to dynamically determine and populate the report suite ID based on the domain or other contextual information.

Data Element: Provides flexibility to dynamically assign the correct report suite ID for each website based on defined conditions or context.

Verification: According to Adobe Launch best practices, using data elements to populate report suite IDs ensures accurate and context-specific tracking across multiple domains (Adobe Launch Documentation).

====


Question 2

A new business requirement is submitted to start capturing the shipping cost of each order. After updating the product string on the confirmation page to collect the shipping cost in event1 00, no results show up for this event in Adobe Analytics.

s.products = ";car stereo;1;820;event100:123=23

Which code change should be made?



Answer : B

The issue in the original code lies in the incorrect placement of the event syntax. In Adobe Analytics, when defining events in the product string, the correct format must be followed to ensure the event is captured properly. Specifically, there needs to be a double semicolon (;;) before the event definition.

The corrected code s.products = ';car stereo;1 ;820;;event100=23' ensures that the event is recognized correctly by Adobe Analytics.


Question 3

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 4

A Business Requirements Document states that a company wants to be able to report on their Facebook and Twitter activity separately in their Marketing Channel reports. Their tracking codes start with the strings "socialjb" and "sociaLtw" to identify their Facebook and Twitter traffic, respectively.

Which rules should be configured to meet the Marketing Channel requirements?



Answer : C

Business Requirement: Report on Facebook and Twitter activity separately in Marketing Channel reports.

Configuration Steps:

Identify Social Media Traffic: Create a rule to identify all social media traffic.

Split Facebook and Twitter Traffic: Create rules to distinguish traffic from Facebook and Twitter based on tracking codes.

Explanation:

First Rule for Social Media Traffic: This rule captures all social media traffic under a single category.

Second Rule to Split Traffic: Additional rules to distinguish between Facebook and Twitter based on specific tracking codes ('socialjb' for Facebook and 'sociaLtw' for Twitter).

Verification: According to Adobe's documentation on Marketing Channel Processing, using multiple rules to identify and then split traffic ensures detailed and accurate reporting (Adobe Analytics Marketing Channel Processing Rules Guide).


Question 5

A company is beginning a full re-architecture of their website. They will use Adobe Launch as the tag management system. How should an Architect recommend that the data layer object be generated each time a page is requested?



Answer : B

The best practice for generating the data layer object each time a page is requested is to use server-side code to include the data layer in a <script> block in the page HTML's <head> section. This ensures that the data layer is available as soon as the page starts loading and can be used by Adobe Launch and other scripts. By having the data layer generated server-side, it reduces reliance on the client-side code and ensures the data is consistent and accurate for each page load.


Question 6

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?



Answer : B

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).


Question 7

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?



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).


Page:    1 / 14   
Total 50 questions