A team is migrating an old ETL process to Lakeflow Jobs. Today one long notebook chains five processing stages with %run: each stage calls the next notebook, everything shares a single execution, and a failure in stage three means rerunning the whole chain the next morning. What is the main benefit of rebuilding this chain as separate notebook tasks in one job?
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Correct answer: The ability to retry, monitor, and branch each stage independently, and rerun only the failed stage
Reference: https://docs.databricks.com/aws/en/jobs/tasks/notebook
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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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No community synthesis consolidated for this question yet. Below is the verifiable official starting point — if you passed the exam, open the option dissection.
Official Answer (C): The ability to retry, monitor, and branch each stage independently, and rerun only the failed stage
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