In a lakehouse scenario with external data schema changing regularly, which destination action ensures the target matches the external data schema?

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

In a lakehouse scenario with external data schema changing regularly, which destination action ensures the target matches the external data schema?

Explanation:
When the external data schema changes regularly, you want the destination to reflect those changes exactly. Overwrite does this by replacing the existing target with a new one built from the current incoming data, so the target’s fields and types match the external schema. Other approaches rely on the existing schema: merge and upsert expect the same columns to map to, and append adds rows without altering the structure, so they can’t reliably align with a changing schema. Overwrite is the only option that guarantees the target mirrors the latest external schema, even though it may involve recreating or clearing the previous data.

When the external data schema changes regularly, you want the destination to reflect those changes exactly. Overwrite does this by replacing the existing target with a new one built from the current incoming data, so the target’s fields and types match the external schema. Other approaches rely on the existing schema: merge and upsert expect the same columns to map to, and append adds rows without altering the structure, so they can’t reliably align with a changing schema. Overwrite is the only option that guarantees the target mirrors the latest external schema, even though it may involve recreating or clearing the previous data.

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