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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

Databricks Certified Data Engineer Professional Sample Questions:

Question 1

A data engineer is working in an interactive notebook with many transformations before outputting the result from display(df.collect() ). The notebook includes wide transformations and a cross join.
The data engineer is getting the following error: "The spark driver has stopped unexpectedly and is restarting. Your notebook will be automatically reattached." Which action should the data engineer take?

A. Check into the Spark UI to see how many jobs are assigned to each stage as they are employing fewer executors.
B. Look at the compute metrics UI to see if the executors have higher than 90% memory utilization.
C. Run the notebook on a single node cluster to keep driver from falling.
D. Rewrite their code to avoid putting memory pressure on the driver node.

Question 2

A data engineer, User A, has promoted a new pipeline to production by using the REST API to programmatically create several jobs. A DevOps engineer, User B, has configured an external orchestration tool to trigger job runs through the REST API. Both users authorized the REST API calls using their personal access tokens.
Which statement describes the contents of the workspace audit logs concerning these events?

A. Because the REST API was used for job creation and triggering runs, user identity will not be captured in the audit logs.
B. Because these events are managed separately, User A will have their identity associated with the job creation events and User B will have their identity associated with the job run events.
C. Because the REST API was used for job creation and triggering runs, a Service Principal will be automatically used to identity these events.
D. Because User A created the jobs, their identity will be associated with both the job creation events and the job run events.
E. Because User B last configured the jobs, their identity will be associated with both the job creation events and the job run events.

Question 3

A streaming video analytics team ingests billions of events daily into a Unity Catalog-managed Delta table video_events. Analysts run ad-hoc point-lookup queries on columns like user_id, campaign_id, and region. The team manually runs OPTIMIZE video_events ZORDER BY (user_id, campaign_id, region), but still sees poor performance on recent data and dislikes the operational overhead. The team wants a hands-off way to keep hot columns co-located as query patterns evolve. Which Delta capability should the team leverage on video_events?

A. Enable auto-compaction (optimizeWrite and autoCompact).
B. Enable Delta caching.
C. Utilize Liquid Clustering (CLUSTER BY AUTO) and Predictive Optimization.
D. Schedule OPTIMIZE/ZORDER to run after each job to improve recent file performance.

Question 4

The data architect has decided that once data has been ingested from external sources into the Databricks Lakehouse, table access controls will be leveraged to manage permissions for all production tables and views.
The following logic was executed to grant privileges for interactive queries on a production database to the core engineering group.
GRANT USAGE ON DATABASE prod TO eng;
GRANT SELECT ON DATABASE prod TO eng;
Assuming these are the only privileges that have been granted to the eng group and that these users are not workspace administrators, which statement describes their privileges?

A. Group members are able to query and modify all tables and views in the prod database, but cannot create new tables or views.
B. Group members are able to list all tables in the prod database but are not able to see the results of any queries on those tables.
C. Group members are able to create, query, and modify all tables and views in the prod database, but cannot define custom functions.
D. Group members are able to query all tables and views in the prod database, but cannot create or edit anything in the database.
E. Group members have full permissions on the prod database and can also assign permissions to other users or groups.

Question 5

Review the following error traceback:

Which statement describes the error being raised?

A. There is no column in the table named heartrateheartrateheartrate
B. There is a syntax error because the heartrate column is not correctly identified as a column.
C. The code executed was PvSoark but was executed in a Scala notebook.
D. There is a type error because a DataFrame object cannot be multiplied.
E. There is a type error because a column object cannot be multiplied.

Solutions: