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Adobe AD0-E608 Exam Syllabus Topics:

Adobe Customer Journey Analytics Business Practitioner Professional Sample Questions:

1. Which filters ensure that only relevant customer actions are included in a report?
(Select two.)
Response:

A) API Query Filters
B) Metric Filters
C) Event Trigger Filters
D) Profile Segment Filters

2. Which analysis method should be used to determine how often customers return after making a purchase?
Response:

A) Retention Analysis
B) Data Aggregation Report
C) Trend Line Report
D) Engagement Scoring

3. You generated a quarterly performance report for customer purchases but noticed that purchases made during the first month were missing. After reviewing the data, you realize that the report's date range was incorrectly set. What should you do next?
Response:

A) Enable batch processing for older data records.
B) Apply additional data filters for customer transactions.
C) Recreate the report using campaign tracking metrics.
D) Update the report's date range to cover the entire quarter.

4. The marketing team of an insurance business wants to review their weekly performance every Monday. They need a workspace project with data for past week from Monday to Sunday for reporting.
As a CJA Business Practitioner, how will you create a custom calendar date range to address this requirement, considering the week starts from Sunday as per default data view calendar settings?
Response:

A) In the calendar control select 'Last 7 days' from the Preset dropdown and then uncheck 'Use rolling dates' option with rolling weekly value
B) Select a custom range and manually adjust the start and end dates every week
C) In the calendar control check 'Use rolling dates' option and choose Start as 'Start of current week' plus 1 day and End as 'Start of current week' plus 8 days
D) In the calendar control check 'Use rolling dates' option and choose Start as 'Start of current week' minus 6 days and End as 'Start of current week' plus 1 day

5. You must analyze the impact of marketing email engagement on order value, using one dataset containing email click data and another dataset containing order value. Both datasets record the relevant person ID for each event. You choose a metric attribution model for order value that allows you to relate email activity to subsequent order value.
This is the table created to report email name, clicks, and order value.

What is a valid insight gained about the impact of marketing email engagement on order value? Response:

A) Email 3 had the greatest average attributed order value per email click.
B) Email 4 was the last email clicked before orders totalling $54.3 million.
C) Email 5 is attributed $38.4 million in order value during the attribution window.
D) Email 2 generated the highest click-to-order ratio.

Solutions: