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A Databricks Job, consisting of 5 tasks with linear dependencies, typically completes in about an hour. However, it recently failed after the first 3 tasks succeeded, due to an issue in the 4th task, causing the 5th task to be skipped. What is the most efficient way to repair this job run to ensure success while minimizing execution time and compute resources?
A
Delete the failed job run and initiate a new run for the job.
B
Repair the job to re-run only the last 2 tasks that failed or were skipped.
C
Manually execute the code for the last 2 tasks to repair the job run.
D
Start a new run for the job without deleting the failed run.
E
Repair the job to re-run all 5 tasks.