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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer wants to enforce the principle of least privilege when configuring ACLs for Databricks jobs in a collaborative workspace. Which approach should the data engineer use?

A) Assign users only the minimum permission level (e.g., CAN RUN or CAN VIEW) required for their role on each job.
B) Grant CAN RUN permission to everyone and CAN MANAGE to a single admin group.
C) Grant all users CAN MANAGE permission on all jobs to avoid access issues.
D) Use only folder-level permissions and avoid setting permissions on individual jobs.

2. The data architect has mandated that all tables in the Lakehouse should be configured as external Delta Lake tables.
Which approach will ensure that this requirement is met?

A) When tables are created, make sure that the external keyword is used in the create table statement.
B) When configuring an external data warehouse for all table storage. leverage Databricks for all ELT.
C) Whenever a table is being created, make sure that the location keyword is used.
D) When the workspace is being configured, make sure that external cloud object storage has been mounted.
E) Whenever a database is being created, make sure that the location keyword is used

3. A data engineer is configuring Delta Sharing for a Databricks-to-Databricks scenario to optimize read performance. The recipient needs to perform time travel queries and streaming reads on shared sales data. Which configuration will provide the optimal performance while enabling these capabilities?

A) Use the open sharing protocol instead of Databricks-to-Databricks sharing for better performance.
B) Share tables WITHOUT HISTORY and enable partitioning for better query performance.
C) Share the entire schema WITHOUT HISTORY and rely on recipient-side caching for performance.
D) Share tables WITH HISTORY, ensure tables don't have partitioning enabled, and enable CDF before sharing.

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

5. A user wants to use DLT expectations to validate that a derived table report contains all records from the source, included in the table validation_copy.
The user attempts and fails to accomplish this by adding an expectation to the report table definition.

Which approach would allow using DLT expectations to validate all expected records are present in this table?

A) Define a view that performs a left outer join on validation_copy and report, and reference this view in DLT expectations for the report table
B) Define a SQL UDF that performs a left outer join on two tables, and check if this returns null values for report key values in a DLT expectation for the report table.
C) Define a function that performs a left outer join on validation_copy and report and report, and check against the result in a DLT expectation for the report table
D) Define a temporary table that perform a left outer join on validation_copy and report, and define an expectation that no report key values are null

Solutions: