Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users. What should the consultant do to accomplish this?
A.
Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.
B.
Use formula fields based on the Account Country field to filter incoming records.
C.
Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.
D.
Use the data spaces feature and apply filtering on the Account data lake object based on Country.
Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the data spaces feature and apply filtering on the Account data lake object based on Country.
D. Use the data spaces feature and apply filtering on the Account data lake object based on Country.
The data spaces feature in Salesforce Data Cloud is designed to logically partition data, enabling you to segment data (such as Account records) based on criteria like Country. This approach allows users to access only the relevant subset of data, ensuring proper segregation while maintaining data integrity within the Data Cloud.
Use Data Spaces to have a Single Data Cloud for multiple brands, regions or departments
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