In which two ways should a consultant use Data Cloud to honor this request?

Cloud Kicks received a Request to be Forgotten by a customer.

In which two ways should a consultant use Data Cloud to honor this request? Choose 2 answers
A . Delete the data from the incoming data stream and perform a full refresh.
B . Add the Individual ID to a headerless file and use the delete from file functionality.
C . Use Data Explorer to locate and manually remove the Individual.
D . Use the Consent API to suppress processing and delete the Individual and related records from source data streams.

View Answer

Answer: B, D

Explanation:

: To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways: Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.

Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity’s identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:

Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.

Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud.

Reference: Delete Individuals from Data Cloud

Requesting Data Deletion or Right to Be Forgotten Data Refresh for Data Cloud

[Data Explorer]