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

Databricks Certified Data Engineer Professional Sample Questions:

Question 1

The following table consists of items found in user carts within an e-commerce website.

The following MERGE statement is used to update this table using an updates view, with schema evolution enabled on this table.

How would the following update be handled?

A. The update throws an error because changes to existing columns in the target schema are not supported.
B. The update is moved to separate ''restored'' column because it is missing a column expected in the target schema.
C. The new nested field is added to the target schema, and files underlying existing records are updated to include NULL values for the new field.
D. The new restored field is added to the target schema, and dynamically read as NULL for existing unmatched records.

Question 2

Which distribution does Databricks support for installing custom Python code packages?

A. Wheels
B. CRAN
C. CRAM
D. jars
E. nom
F. sbt

Question 3

A CHECK constraint has been successfully added to the Delta table named activity_details using the following logic:

A batch job is attempting to insert new records to the table, including a record where latitude =
45.50 and longitude = 212.67.
Which statement describes the outcome of this batch insert?

A. The write will insert all records except those that violate the table constraints; the violating records will be recorded to a quarantine table.
B. The write will insert all records except those that violate the table constraints; the violating records will be reported in a warning log.
C. The write will fail when the violating record is reached; any records previously processed will be recorded to the target table.
D. The write will include all records in the target table; any violations will be indicated in the boolean column named valid_coordinates.
E. The write will fail completely because of the constraint violation and no records will be inserted into the target table.

Question 4

Where in the Spark UI can one diagnose a performance problem induced by not leveraging predicate push-down?

A. In the Stage's Detail screen, in the Completed Stages table, by noting the size of data read from the Input column
B. In the Delta Lake transaction log. by noting the column statistics
C. In the Query Detail screen, by interpreting the Physical Plan
D. In the Storage Detail screen, by noting which RDDs are not stored on disk
E. In the Executor's log file, by gripping for "predicate push-down"

Question 5

A data engineer has configured their Databricks Asset Bundle with multiple targets in databricks.yml and deployed it to the production workspace. Now, to validate the deployment, they need to invoke a job named my_project_job specifically within the prod target context.
Assuming the job is already deployed, they need to trigger its execution while ensuring the target- specific configuration is respected. Which command will trigger the job execution?

A. databricks job run my_project_job --env prod
B. databricks bundle run my_project_job -t prod
C. databricks run my_project_job -t prod
D. databricks execute my_project_job -e prod

Solutions: