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Adobe Real-Time CDP Business Practitioner Professional Sample Questions:

1. A marketer is setting up a web personalization campaign inside Adobe Experience Platform and will use Real-Time CDP segments to power personalization activities. The marketer plans to use Edge segments to drive same page and next page personalization in the campaign. Which should be kept in mind when configuring the segments used in the personalization campaign?

A) Hub profile is a subset of Edge profile and thus the the destination does not need to be configured for profile attributes or segments needed for their personalization campaign.
B) Edge profile is a subset of Hub profile and thus the destination must be configured for profile attributes or segments needed for their personalization campaign.
C) Edge Profile and Hub Profile contain the same data and thus the destination does not need to be configured for profile attributes or segments for their personalization campaign.
D) Edge profile and Hub profile contain the same data and thus the destination must be configured for profile attributes or segments needed for their personalization campaign.

2. What is a key feature of Edge ingestion in Adobe RT-CDP?

A) Streaming data in real-time for immediate profile updates.
B) Restricting ingestion to structured datasets only.
C) Processing data in central hubs for batch activation.
D) Performing manual identity mapping during data ingestion.

3. Which feature in Adobe RT-CDP is used to notify users about workflow errors or critical events?

A) Identity stitching monitor.
B) Audience segmentation dashboard.
C) Role-Based Access Control (RBAC).
D) Alerts and notifications.

4. What is a key best practice for applying data governance in Adobe RT-CDP?

A) Avoid mapping data to identity fields.
B) Disable profile updates in real-time workflows.
C) Label all datasets with appropriate usage tags during ingestion.
D) Restrict all data to static batch exports.

5. A marketer views the license usage dashboard first thing in the morning and notices the average profile richness metric is hovering around 300KB per profile when they only have 100KB in their contract. The marketer appropriately identifies a dataset causing the issue and determines they can drop the entire dataset without impacting their marketing use cases. They know the dataset contributes around ~150KB of average profile richness per profile. When the marketer reviews the dashboard license usage dashboard before the end of the day, they notice it has not been updated with the 150KB of richness removed. They confirm the data is deleted from the profile and are confused.
Assuming no other factors are present that are contributing to the average profile richness, why is the dashboard still showing the old value of 300KB?

A) The marketer forgot the license usage dashboard only updates one time per day.
B) The marketer needs to re-enable the deleted dataset for the dashboard to reflect the changes.
C) The marketer needs to manually run the "Update license usage" job to refresh the metrics.
D) The marketer needs to wait until the next streaming segmentation job runs.

Solutions: