Answer-first summary for fast verification
Answer: Visit the Workflows section, navigate to the Runs tab in the Jobs UI, and click the link under the Start time column of Active runs to examine the running notebook.
To investigate a slow-running notebook task in a Databricks job, follow these steps: Click on Workflows in the sidebar. In the Name column, select the job name to view the Runs tab, which displays active and completed runs. Click the link in the Start time column of the Active runs table to access detailed information about the current run. This includes the start time, duration, and status, helping you identify the cause of the delay. The correct approach is to use the Workflows section and the Runs tab for this investigation.
Author: LeetQuiz Editorial Team
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A Databricks Job scheduled to run daily at 11:00 AM, typically completes in 30 minutes. However, today it's been running for over an hour. As a data engineer, how would you investigate the slow performance of the notebook task in this job?
A
Navigate to the Compute section, select the Runs tab in the Jobs UI, and click the link under the Start time column of Active runs to inspect the running notebook.
B
There is no method available to determine why the notebook in the Databricks job is running slowly.
C
Go to the Workflows section, access the Tasks tab in the Jobs UI, and click the link under the Start time column of Active runs to review the running notebook.
D
Access the Compute section, proceed to the Tasks tab in the Jobs UI, and click the link under the Start time column of Active runs to check the running notebook.
E
Visit the Workflows section, navigate to the Runs tab in the Jobs UI, and click the link under the Start time column of Active runs to examine the running notebook.
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