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Adobe Experience Platform Technical Foundations Questions 11–15 (page: 4)

Updated On: 9-Feb-2026

What is model scoring in the Data Science Workspace?

  1. Building and evaluating a model
  2. Engineering features for a model
  3. Building a recipe
  4. Applying a model to a data set

Answer(s): D

Explanation:

Model scoring in the Data Science Workspace in Adobe Experience Platform is the process of applying a model to a data set. Scoring in Adobe Experience Platform Data Science Workspace can be achieved by feeding input data into an existing trained model. Scoring results are then stored and viewable in a specified output dataset as a new batch.



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

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

Answer(s): B

Explanation:

When sending data through the RESTful API, data engineers can make sure the payload being sent is formatted properly in real time by leveraging synchronous validation. Synchronous validation allows data engineers to review error messages for records that fail validation



A data engineer has a file they must ingest with all string fields. The engineer must keep precision of the data when converting string fields to numeric fields.
Which two functions could the the data engineer use when making this conversion? (Choose two.)

  1. To.bigint
  2. To.object
  3. To .integer
  4. To.float
  5. To_decimal

Answer(s): D,E

Explanation:

The two functions that a data engineer could use to convert string fields to numeric fields while keeping precision of the data in Adobe Experience Platform are To.float and To_decimal.



A marketer notices that the average number of IDs linked per profile has increased significantly over the past couple weeks. In the Identity graph viewer, the marketer sees that different emails that should belong to different profiles are stitched together.
What should the marketer do next to identify the root cause?

  1. Use the Real-time Profile Ul to retrieve the Identity Map linked to the profile
  2. Use the Identity API to get the details of the Identity Namespace definition
  3. Use the Identity API to list the Identity Mappings for the email
  4. Use Identity graph viewer to retrieve the list of data sources

Answer(s): C

Explanation:

To identify the root cause when a marketer notices that the average number of IDs linked per profile has increased significantly over the past couple weeks and different emails that should belong to different profiles are stitched together in Adobe Experience Platform, the marketer should use the

Identity API to list the Identity Mappings for the email. https://business.adobe.com/blog/basics/5-whys-root-cause-analysis



A marketer has been tasked with setting up an export of a certain segment of their profile data to their cloud storage.
Which two types of file export options are available to the marketer? (Choose two.)

  1. full
  2. Incremental
  3. Partial

Answer(s): A,B

Explanation:

The two types of file export options available to a marketer when setting up an export of a certain segment of their profile data to their cloud storage in Adobe Experience Platform are Full and Incremental.



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