A long-running job on a cluster with spot workers loses one mid-run: the node is reclaimed by the cloud provider, and a shuffle stage that had tasks on that node is suddenly incomplete. A new engineer assumes the whole job run is lost. What actually happens?
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Correct answer: Spark re-executes the lost tasks and dependent stages, so the run continues without starting over
Reference: https://docs.databricks.com/aws/en/compute/configure
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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 (A): Spark re-executes the lost tasks and dependent stages, so the run continues without starting over
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