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Databricks Certified Data Engineer Associate Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. The data engineer wants to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing.
Which role must be in place to perform these actions across the metastore?

A. Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.
B. Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.
C. Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.
D. Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.

Answer: B

NEW QUESTION # 68
A data engineer needs Task C to run only when Task A succeeds and Task B fails.
Which dependency configuration implements this conditional logic?

A. Use two dependency chains: one that proceeds only when Task A succeeds and another that proceeds only when Task B has at least one failure; Task C depends on both resulting branches.
B. Task C depends on Task A with Success, with Task B listed as a negative dependency.
C. Configure Task C to depend on Task A and Task B with All done and use a notebook widget as the condition.
D. Create a Python task that checks dbutils.jobs.taskValues from Tasks A and B before running Task C.

Answer: A

NEW QUESTION # 69
A Lakeflow Jobs workflow fails at the last task because of an error in a notebook task. This workflow is scheduled to run daily. The data engineer fixes the notebook and wants to rerun the pipeline. This workflow is very compute-intensive and expensive to run. Which action should the data engineer take in order to minimize downtime and compute cost?

A. Re-run the entire workflow
B. Switch to another cluster
C. Restart the cluster
D. Repair run

Answer: D

Explanation:
Repair run allows rerunning only the failed task and any dependent tasks instead of executing the entire workflow again, minimizing compute cost and downtime while preserving the original run context.

NEW QUESTION # 70
A Databricks workflow fails at the last stage due to an error in a notebook. This workflow runs daily. The data engineer fixes the mistake and wants to rerun the pipeline. This workflow is very costly and time-intensive to run. Which action should the data engineer do in order to minimise downtime and cost?

A. Re-run the entire workflow
B. Switch to another cluster
C. Restart the cluster
D. Repair run

Answer: D

Explanation:
Repair run in Databricks allows rerunning only the failed tasks in a workflow instead of re-running the entire pipeline, minimizing downtime and reducing costs.

NEW QUESTION # 71
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.

The code block used by the data engineer is below:
Which line of code should the data engineer use to fill in the blank if the data engineer only wants the query to execute a micro-batch to process data every 5 seconds?

A. trigger(once="5 seconds")
B. trigger("5 seconds")
C. trigger(continuous="5 seconds")
D. trigger(processingTime="5 seconds")

Answer: D

NEW QUESTION # 72
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