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Adobe Customer Journey Analytics Business Practitioner Professional Sample Questions:

1. A company sells large machines and parts and accessories for those machines. They have recently added a how-to video section to their site and want to know which group of users is visiting the video page. An analyst builds the following Venn diagram as part of their analysis.

What conclusion can the analyst draw? Response:

A) Visitors that view Large Machines pages are more likely to also view the How-to Video page.
B) Visitors that view Parts and Accessories pages are more likely to also view the Large Machines page.
C) Visitors that view How-to Video pages rarely visit Large Machines pages.
D) Visitors that view Parts and Accessories pages are more likely to also view the How-to Video page.

2. You are trying to analyze how long it takes for a customer to make an online purchase. The process from brand awareness to purchase is long (taking multiple days and site visits) and for most customers, they visit your company site from multiple channels before purchasing.
However, you have already analyzed the funnel from first touch to conversion. Instead, you would like to analyze the period between the customer's final site arrival and the purchase.
Which of dimension would be used in the lookback window of an attribution model to answer this question?
Response:

A) Person
B) Session
C) Custom Time
D) Conversion Time

3. A marketer wants to know how well her brand awareness campaigns are performing at bringing in new customers. Which calculated metric would provide the most insight on their performance?
Response:

A)

B)

C)

4. Which component should be used to show customer engagement across different marketing channels?
Response:

A) Flow Visualization
B) Segment Overlap Report
C) Data View Manager
D) Engagement Tracker

5. An analyst needs to show a trended view of the registered visitors to their website broken down by new registrations versus existing users. The website requires authentication and records an event when a user signs in. It also records an event when a new account is created.
How can the analyst create the desired visualization?
Response:

A) Create a filter for users who create an account then sign in, another for users who sign in and exclude those who create an account, then use them both in a stacked bar chart.
B) Create a filter for users who create an account then sign in, another for users who sign in, then use them both to create a stacked area chart.
C) Use a default visualization that plots sign-in and account creation events without filters.
D) Create a filter for users who create an account, another for users who sign in and exclude those who create an account, then use them both in a stacked bar chart.

Solutions: