Online Access Free AD0-E600 Exam Questions

When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?

• A.Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
• B.Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
• C.All data is ingested and query services reporting identify any records that do not pass custom validation rules.
• D.As long as the data matches the pre-defined SXM schema, records in the payload pass

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.
• B.
• C.
• D.

A data engineer builds a segment based on Loyalty Status = Gold attribute and a purchase in the last 7 days.
To validate that this segment is working, the engineer logs in to the test website and makes a purchase Gold Loyalty Status.
In AEP. how can the data engineer validate that the test customerlD made it into the segment near real-time?

• A.Run a Query in Query service using the segment criteria (Loyalty Status = Gold attribute and a purchase in the last 7 days) for the dataset in question.
• B.In the Identity Graph Viewer, look up the customerlD.
• C.Go to Profiles > Browse and input my customerlD. Look at the segment membership tab.
• D.Go to Segments > choose the segment > search for the profile in the samples below.

Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?

• A.A sample of the data structure of the XDM schema
• B.A sample of all successful and failed batches in the dataset
• C.A sample of the most recent successful batch in the dataset
• D.A sample of all successful batches in the dataset in the past 7 days

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: Private graph
  Merge method: Dataset precedence
• C.ID stitching: None
  Merge method: Timestamp ordered
• D.ID stitching: Private graph
  Merge method: Timestamp ordered