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Answer: Review the job logs, identify the specific task and line of code where the error occurred, and use a notebook to reproduce and fix the issue.
Option C is the most appropriate as it involves systematic debugging by reviewing logs, identifying the exact point of failure, and using a notebook to reproduce and fix the issue. This approach ensures that the root cause is addressed and prevents future occurrences.
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Consider a scenario where a Databricks job has failed due to an unexpected null value in a critical column. Describe the steps you would take to debug this issue, including how you would use Databricks notebooks and logs to identify the root cause.
A
Ignore the error and restart the job without any changes.
B
Check the job configuration and ensure all required columns are non-nullable.
C
Review the job logs, identify the specific task and line of code where the error occurred, and use a notebook to reproduce and fix the issue.
D
Manually update the data to remove null values and rerun the job.
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