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Answer: Use `databricks jobs create`, set a cron schedule, and configure alerts for failures.
Using the CLI, you can create jobs with `databricks jobs create`, set a cron schedule for daily execution, and configure alerting mechanisms to notify you of any job failures. This approach ensures automation and proactive monitoring, which are crucial for maintaining operational efficiency.
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Given a requirement to deploy and monitor Databricks jobs using the CLI, outline the sequence of commands you would use to create a new job, schedule it to run daily, and monitor its execution. How would you handle errors or failures during the job execution?
A
Use databricks jobs create, set a cron schedule, and manually check logs.
B
Manually run jobs and monitor through the web interface.
C
Ignore scheduling and run jobs ad-hoc.
D
Use databricks jobs create, set a cron schedule, and configure alerts for failures.
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