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A data engineer is bringing in audience definitions into Adobe Experience Platform from external sources. Which standard Experience Data Model (XDM) class should the data engineer use?

A. Segment Definition

B. XDM ExperienceEvent

C. XDM Individual Profile

D. Profile Definition

A QA engineer needs to determine if the data ingested through three different data sources into three datasets enabled for profile and based in the same XDM Profile schema is processed as expected.

To evaluate the final result, the QA engineer uses the Merge Profile configuration shown; The primary identity used is '.orgtenant.profilelDs.email". What data should appear m the user profile?

A. Option A

B. Option B

C. Option C

D. Option D

In an AEP implementation, an SFTP source setup performs daily imports. A marketer notices that the segment volumes linked to that data source have dropped in the last days. After a root cause analysis, it is identified that the dataflow that

manages the SFTP import has been disabled by mistake.

The missing files must be ingested in AEP, and the daily import must be re-started.

How should these tasks be performed?

A. Create a new dataflow and enable the backfill.

B. Re-enable the dataflow and create one-time dataflows per missing file.

C. Re-enable the dataflow and change the starting date to be the date that the dataflow was disabled

D. Re-enable the dataflow, and it will automatically upload the missing files.

A marketer wants 10 create a segment that qualities profiles from all datasets that are enabled for profile. The use case for the segment is for activation to advertising destinations. Based on the options for ID stitching and merge method respectively, which type of merge policy is appropriate for this use case?

A. ID stitching: None Merge method: Dataset precedence

B. ID stitching: None Merge method: Timestamp ordered

C. ID stitching: Private graph Merge method: Dataset precedence

D. ID stitching: Private graph Merge method: Timestamp ordered

A data engineer is ingesting the transactional information from an ecommerce platform through a daily feed. In AEP, one Experience Event-based schema will collect the purchase events from this feed.

The eventType field of the schema must be populated with "commerce.purchases' if in a CSV record in which the column 'pure ha sesf arid ate' and 'purchaseenddate" happen on the same day, If the "purchasee/irfdate" is set to a later date,

the eventType should be *commerce._orgtenant.cancer.

Both dates follow the same format "yyyy-MM-dd'T'HH:mm:ss.SSS'Z~. and the "purchaseenddate' is always populated.

How should the data engineer create a Calculated Field that can be used to populate the eventType according to the required logic?

A. Option A

B. Option B

C. Option C

D. Option D