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. Add the Individual ID to a headerless file and use the delete from file functionality.
• B. Use the Consent API to suppress processing and delete the Individual and related records fromsource data streams.
• C. Use Data Explorer to locate and manually remove the Individual.
• D. Delete the data from the incoming data stream and perform a full refresh.

A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data?
Choose 2 answers

• A. Unified Profiles
• B. Data Harmonization
• C. Data Marketplace
• D. Master Data Management

A consultant needs to minimize the difference between a Data Cloud segment population and Marketing Cloud data extension count to determine the true size of segments for campaign planning.
What should the consultant recommend to filter the segments by to accomplish this?

• A. Marketing Cloud Journeys
• B. Business units
• C. User preferences for marketing outreach
• D. Geographical divisions

A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?

• A. Create a batch transform to split data between different data spaces.
• B. Create a new data stream and map the second data stream to the data space.
• C. Navigate to the Data Space tab and select the object to be included in the new data space.
• D. Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space.

Which two common use cases can be addressed with Data Cloud?
Choose 2 answers

• A. Understand and act upon customer data to drive more relevant experiences.
• B. Govern enterprise data lifecycle through a centralized set of policies and processes.
• C. Harmonize data from multiple sources with a standardized and extendable data model.
• D. Safeguard critical business data by serving as a centralized system for backup and disasterrecovery.