Databricks Data Engineer Professional exam dumps

Databricks Data Engineer Professional practice question 304 of 313

Databricks Certified Data Engineer Professional. Professional level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Professional Question 304

Select 1

You are tasked with deploying a Databricks job using the Databricks CLI. After deployment, you need to monitor its execution and retrieve the latest run status. Which sequence of CLI commands would you use to achieve this?

  1. A

    Use databricks jobs create to deploy the job, then databricks jobs run-now to trigger it, and finally databricks runs get to retrieve the latest run status.

  2. B

    Use databricks jobs deploy to deploy the job, then databricks jobs start to trigger it, and finally databricks jobs status to check the latest run status.

  3. C

    Use databricks jobs create to deploy the job, then databricks runs submit to trigger it, and finally databricks runs get to fetch the latest run status.

  4. D

    Use databricks jobs create to deploy the job, then databricks jobs run-now to trigger it, and finally databricks jobs get to fetch the latest run status.

  5. E

    Use databricks jobs create to deploy the job, then databricks runs submit to trigger it, and finally databricks jobs get to fetch the latest run status.

Show answer and explanation

Correct answer: A

Explanation

To deploy and monitor Databricks jobs using the CLI, you must first deploy the job configuration using databricks jobs create. To execute the job, the databricks jobs run-now command is used. Finally, you can monitor the job's execution and retrieve its runtime details using databricks runs get. This sequence ensures proper deployment, execution, and monitoring of jobs.

  • A. Correct.

    This is the correct sequence of commands. The databricks jobs create command is used to deploy the job configuration, databricks jobs run-now triggers the job, and databricks runs get retrieves details about the latest job run, including its status.

  • B. Incorrect.

    This is incorrect because there is no databricks jobs deploy or databricks jobs status command in the Databricks CLI.

  • C. Incorrect.

    This is incorrect because databricks runs submit is used for submitting runs manually using a JSON payload, not for triggering a job that has already been deployed.

  • D. Incorrect.

    This is incorrect because databricks jobs get retrieves information about job configurations, not the runtime status of a particular job run.

  • E. Incorrect.

    This is incorrect because databricks runs submit is not the correct command to trigger an already created job, and databricks jobs get does not provide run status information.

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