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Adobe Customer Journey Analytics Business Practitioner Professional Sample Questions:

1. Which settings should be enabled when analyzing data for customer segmentation?
(Select two.)
Response:

A) Use Profile Merge Policies
B) Schedule Data Ingestion Checks
C) Enable Real-Time Data Refresh
D) Apply Event Filters for Specific Actions

2. Which feature in CJA allows you to view information about a component, including its description, similar components, and other components it is frequently used with?
Response:

A) Workspace Overview
B) Annotations
C) Data Dictionary
D) Cross Channel Analytics

3. You work for a large Telecom organization that has both a Retail section and a Support section of the website. After some deep analysis, you have found that the average number of pages per visit for your overall site is 12.4 pages. However, in the customer support area, you notice that the average number of pages per visit is 21.6 pages.
Additionally, "Voice of the Customer" research shows that customers often rate your organization's support as poor. You also know that when people purchase a cell phone plan, that part of the journey can take 6 pages just to select the phone and the call plan.
How should you address this?
Response:

A) You should implement a content velocity metric to understand what products and support answers drive the highest page counts to boost the products and answers that are the best.
B) Develop a campaign to drive traffic to the retail section based on high-support section visits.
C) Initiate some analysis around how people move through the support section looking for evidence of finding answers and then comparing those visits with visits that end in a support call.
D) Since more pages engaged can mean higher revenue, you should look for ways to raise the number of pages per visit for the retail portion of your site.

4. Which setting should be configured first when creating a custom report in Adobe CJA?
Response:

A) Campaign Priority Level
B) Data Export Rules
C) Date Range Filter
D) Calculated Metric Formula

5. Assume the following scenario: On April 10, a visitor arrives to your site from a link on a social media post, adds 3 items to their cart, then leaves.</li><li>On April 14, the same visitor receives an email reminding them about their items in cart. The visitor clicks the link in the email directing them to your site, visits 2 other sites to see if they can find similar products, then leaves your site without purchasing. On April 16, the same visitor receives an SMS text that 2 of the items in their cart have gone on a sale for 15% off, linking them to their cart. The visitor clicks the link in the SMS text and purchases their cart for a total of $240.
Which attribution model should you use if you need to equally credit each channel $80 for the visitor's purchase?
Response:

A) Linear attribution model with a person lookback window
B) Linear attribution model with a session lookback window
C) Last touch attribution model with a session lookback window
D) Participation attribution model with a person lookback window

Solutions: