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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineering team needs to implement a tagging system for their tables as part of an automated ETL process, and needs to apply tags programmatically to tables in Unity Catalog.
Which SQL command adds tags to a table programmatically?

A) SET TAGS FOR table_name AS ('key1' = 'value1', 'key2' = 'value2');
B) COMMENT ON TABLE table_name TAGS ('key1' = 'value1', 'key2' = 'value2');
C) APPLY TAGS ON table_name VALUES ('key1' = 'value1', 'key2' = 'value2');
D) ALTER TABLE table_name SET TAGS ('key1' = 'value1', 'key2' = 'value2');

2. A data engineer inherits a Delta table with historical partitions by country that are badly skewed.
Queries often filter by high-cardinality customer_id and vary across dimensions over time. The engineer wants a strategy that avoids a disruptive full rewrite, reduces sensitivity to skewed partitions, and sustains strong query performance as access patterns evolve. Which two actions should the data engineer take? (Choose two.)

A) Switch from static partitioning to liquid clustering and select initial clustering keys that reflect common filters such as customer_id.
B) Depend solely on optimized writes; Databricks will automatically replace partitioning with clustering over time.
C) Keep existing partitions and rely on bin-packing OPTIMIZE only; ZORDER and clustering are unnecessary for multi-dimensional filters.
D) Periodically run OPTIMIZE table_name.
E) Disable data skipping statistics to avoid maintenance overhead; rely on adaptive query execution instead.

3. A company wants to implement Lakehouse Federation across multiple data sources but is concerned about data consistency and ensuring that all teams access the same authoritative version of their data. Which statement is applicable for Lakehouse Federations to maintain data consistency?

A) Federation creates local copies that must be manually refreshed.
B) Federation implements change data capture (CDC) from all sources.
C) A separate data synchronization service must be deployed.
D) Federation provides read-only access that reflects the current state of source systems.

4. A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.
Which approach will allow this developer to review the current logic for this notebook?

A) Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch
B) Merge all changes back to the main branch in the remote Git repository and clone the repo again
C) Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository
D) Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9
E) Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.

5. A data engineer wants to automate job monitoring and recovery in Databricks using the Jobs API.
They need to list all jobs, identify a failed job, and rerun it. Which sequence of API actions should the data engineer perform?

A) Use the jobs/cancel endpoint to remove failed jobs, then recreate them with jobs/create and run the new ones.
B) Use the jobs/list endpoint to list jobs, then use the jobs/create endpoint to create a new job, and run the new job using jobs/run-now.
C) Use the jobs/list endpoint to list jobs, check job run statuses with jobs/runs/list, and rerun a failed job using jobs/run-now.
D) Use the jobs/get endpoint to retrieve job details, then use jobs/update to rerun failed jobs.

Solutions: