Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 450 of 532

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

Databricks Data Engineer Associate Question 450

Single answer

You are a data engineer working in Databricks, and one of the tasks in your job cluster has failed during a pipeline execution. Upon inspecting the task details, you notice an error message indicating that a specific file is missing in the input data source. What is the most appropriate next step to debug and resolve this issue?

  1. A

    Check the task's error message and logs to identify the missing file and verify its availability in the data source.

  2. B

    Immediately retry the task without making any changes to see if the issue resolves itself.

  3. C

    Modify the pipeline to skip the missing file and continue processing the remaining data.

  4. D

    Terminate the cluster and restart it to clear any potential transient errors.

Show answer and explanation

Correct answer: A

Explanation

When a task fails, it is crucial to first analyze the error message and logs to pinpoint the cause of the failure. In this scenario, the logs indicate that a file is missing, so the next logical step is to verify the file's availability in the data source and address the issue before retrying the task. This approach ensures a methodical and efficient resolution to the problem.

  • A. Correct.

    This is the correct option. Reviewing the task's error message and logs is the first step in debugging a failed task. It allows you to identify the root cause, such as a missing file, and take appropriate actions to resolve it.

  • B. Incorrect.

    This is incorrect. Retrying the task without addressing the root cause of the failure will likely lead to the task failing again.

  • C. Incorrect.

    This is incorrect. Modifying the pipeline to skip the file without investigating why it is missing could lead to data inconsistencies or incomplete processing.

  • D. Incorrect.

    This is incorrect. Restarting the cluster is unnecessary in this scenario, as the issue is related to missing input data, not a transient cluster issue.

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