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Answer: Use `databricks jobs reset`, set a cron schedule, and configure alerts for failures.
Using the CLI, you can update jobs with `databricks jobs reset`, set a cron schedule for hourly 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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You are tasked with deploying and monitoring Databricks jobs using the CLI. Outline the sequence of commands you would use to update an existing job, reschedule it to run hourly, and monitor its execution. How would you ensure that the job runs smoothly and handle any potential issues that arise during execution?
A
Use databricks jobs reset, set a cron schedule, and manually check logs.
B
Manually update jobs and monitor through the web interface.
C
Ignore scheduling and run jobs ad-hoc.
D
Use databricks jobs reset, set a cron schedule, and configure alerts for failures.
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