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Adobe AD0-E608 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Reporting and Visualization | - Visualization components in Analysis Workspace - Reporting best practices |
| Customer Journey Analytics Fundamentals | - Data ingestion and connections - Concepts and architecture overview |
| Analysis and Reporting | - Workspace analysis and project creation - Segmentation and filtering concepts |
| Data Configuration and Governance | - Permissions and access management - Data views and schema configuration |
Adobe Customer Journey Analytics Business Practitioner Professional Sample Questions:
1. An organization follows a fiscal year which starts in month of October and ends in September. As a CJA Business Practitioner you are asked to implement the current fiscal year as date range in annual reports. What is the recommended way to achieve it through custom date range?
Response:
A) Use a fixed date range for the fiscal year.
B) Create a custom date range enabling rolling date range option, with Start as 'Start of current year plus 9 months' and End as 'End of current year minus 3 months'.
C) Create a custom date range enabling rolling date range option, with Start as 'Start of current year minus 3 months' and End as 'End of current year minus 3 months'.
D) Create a custom date range enabling rolling date range option, with Start as 'Start of current year minus 3 months' and End as 'End of current year plus 9 months'.
2. An organization considers any interaction from website, mobile app or call center as 'an engagement event' and web, mobile, and phone call as its channels. As a CJA business practitioner, how can you create a weekly report that reflects average engagement per channel?
Response:
A) Create a calculated metric with sum of all engagement events multiplied by total number of channels.
B) Create a calculated metric with sum of all engagement events divided by total number of channels.
C) Create a filter for all events with condition as channel = mobile OR website OR phone call.
D) Create a calculated metric using total sessions instead of engagement events.
3. 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 5 is attributed $38.4 million in order value during the attribution window.
C) Email 4 was the last email clicked before orders totalling $54.3 million.
D) Email 2 generated the highest click-to-order ratio.
4. What is the most accurate definition of the "Approve" feature in the date range manager?
Response:
A) It allows non-admin users to access the date range.
B) It informs users that the date ranges are "official."
C) It locks the date range for editing by all users.
D) It makes the date range editable for non-admin users.
5. 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) 
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: B |

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