Which columns define the identity and versioning in the CustomerMaster example?

Prepare for the DP-600 Fabric Analytics Engineer Exam. Study with flashcards and multiple choice questions, each offering hints and detailed explanations. Enhance your chances of success on the exam!

Multiple Choice

Which columns define the identity and versioning in the CustomerMaster example?

Explanation:
Identity is tied to the customer with a stable key, while versioning is captured by when the record becomes valid. Using the Customer ID with the EffectiveDate lets you distinguish each specific version of a customer’s data, because the same Customer ID can have multiple rows each with a different EffectiveDate representing different time periods. This setup supports temporal history, meaning you can track how the customer's information changes over time. Other columns like Address or Status can change, but they don’t by themselves define a unique version, and CreatedDate only marks when the row was created, not the period during which it’s valid. So the combination of Customer ID and EffectiveDate best defines both identity and versioning.

Identity is tied to the customer with a stable key, while versioning is captured by when the record becomes valid. Using the Customer ID with the EffectiveDate lets you distinguish each specific version of a customer’s data, because the same Customer ID can have multiple rows each with a different EffectiveDate representing different time periods. This setup supports temporal history, meaning you can track how the customer's information changes over time. Other columns like Address or Status can change, but they don’t by themselves define a unique version, and CreatedDate only marks when the row was created, not the period during which it’s valid. So the combination of Customer ID and EffectiveDate best defines both identity and versioning.

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