Salesforce Data Cloud Accredited Professional Exam

According to the Data Cloud documentation, the Is Equal To operator is case-insensitive, meaning it matches values regardless of capitalization. Therefore, the segmentation criteria filtering on City | Is Equal To | 'San Jose' will include cities that contain either 'San Jose' or 'san jose'.

Identity Resolution creates three types of objects8:

Unified Individual: This object represents the unified profile of an individual, which contains attributes from multiple sources.

Unified Contact Point: This object represents the unified contact information of an individual, such as email, phone, address, or app.

Unified Link: This object represents the link between an Individual object and a Unified Individual object, or between a Contact Point object and a Unified Contact Point object.

According to the Data Cloud documentation, the Is Equal To operator is case-insensitive, meaning it matches values regardless of capitalization. Therefore, the segmentation criteria filtering on City | Is Equal To | 'San Jose' will include cities that contain either 'San Jose' or 'san jose'.

To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the administrator needs to join the following data model objects (DMOs) in the Calculated Insight:

Unified Individual: This DMO represents the unified profile of an individual, which contains attributes from multiple sources.

Unified Link Individual: This DMO represents the link between an Individual DMO and a Unified Individual DMO.

Sales Order: This DMO represents a transaction or purchase made by an individual.

The sequence of joins should start from the Unified Individual DMO, then join the Unified Link Individual DMO using the UnifiedIndividualId field, and then join the Sales Order DMO using the IndividualId field. This way, the administrator can access the sales order data for each unified individual and calculate their lifetime value.

The Text field type should be chosen to preserve leading zeros in the purchase order number, as this field type stores alphanumeric characters as strings. The Number and Decimal field types store numeric values as numbers, which would remove any leading zeros. The Serial field type is not a valid field type in Data Cloud. Reference: [Field Types]