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A Databricks workflow fails at the last stage due to an error in a notebook.

A Databricks workflow fails at the last stage due to an error in a notebook. This workflow runs daily. The data engineer fixes the mistake and wants to rerun the pipeline. This workflow is very costly and time-intensive to run.

Which action should the data engineer do in order to minimise downtime and cost?

A.

Switch to another cluster

B.

Repair run

C.

Re-run the entire workflow

D.

Restart the cluster

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