A platform team is designing file storage under Unity Catalog. Machine learning artifacts produced by Databricks jobs should live in storage that Unity Catalog fully controls, including deletion. A large reference dataset already sits in a bucket owned by another application, must stay there, and must never be deleted by Databricks. How should the team create the two volumes?
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Correct answer: Create a managed volume for the artifacts and an external volume with LOCATION for the reference dataset.
Reference: https://docs.databricks.com/aws/en/data-governance/unity-catalog/
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02 — The Myelin Layer · Canonical Discussion
Where the exam tries to trick you — and how those who passed solved it.
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Official Answer (C): Create a managed volume for the artifacts and an external volume with LOCATION for the reference dataset.
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