What type of information is typically found in a Lakeflow Spark Declarative Pipeline event log?

Pipeline run status changes and error messages

A Spark job fails with a `FileNotFound` exception. The cluster logs show the error in the executor log, but the driver log shows no exception. The job reads from a mounted cloud storage path. Which step should the engineer take to correlate the failure with the job?

Check the driver log for the same exception, as it should also appear there.

Query the `system.jobs.runs` table to see the run's start time and compare with log timestamps.

Search the executor logs for the job ID and stage ID to find the exact task that failed.

Restart the cluster and rerun the job to see if the error persists.

A job fails with a `FileNotFoundError` for a path in DBFS. What is the most likely root cause?

The file was deleted or never created

The file is in a different mount point

A Spark job is failing with a `Task not serializable` exception. The engineer needs to identify which task is causing the issue. Which Spark UI information would be most helpful?

The error message in the task's stack trace, which shows the non-serializable object.

The job's start time to correlate with cluster logs.

The stage's shuffle read metrics to see if data is skewed.

The executor's memory usage to check for OOM.

DatabricksCertified Data Engineer Professional

Domain 9Objective 1

Debugging and Troubleshooting DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 2)

Part of the Debugging and Deploying domain, which accounts for 10% of the DATA-ENGINEER-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~5–8 in this domain), expect 3–4 from this objective — we provide 34 practice questions to prepare you well beyond it. (estimate)

34questions here

7free pages

9concepts

10%of the exam

Questions 6–10

6foundation · easy
What type of information is typically found in a Lakeflow Spark Declarative Pipeline event log?
Select an answer first
7foundation · easy
A data engineer is troubleshooting a failed Spark job in the Databricks Spark UI. Which section of the Spark UI should they inspect first to see the high-level breakdown of the job into stages and the overall success or failure of each stage?
Select an answer first
8application · medium
A Spark job fails with a `FileNotFound` exception. The cluster logs show the error in the executor log, but the driver log shows no exception. The job reads from a mounted cloud storage path. Which step should the engineer take to correlate the failure with the job?
Select an answer first
9foundation · easy
A job fails with a `FileNotFoundError` for a path in DBFS. What is the most likely root cause?
Select an answer first
10application · medium
A Spark job is failing with a `Task not serializable` exception. The engineer needs to identify which task is causing the issue. Which Spark UI information would be most helpful?
Select an answer first

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