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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineering team is configuring access controls in Databricks Unity Catalog. They grant the SELECT privilege on the sales catalog to the analyst_group, expecting that members of this group will automatically have SELECT access to all current and future schemas, tables, and views within the catalog. What describes the privilege inheritance behavior in Unity Catalog?

A) Granting SELECT at the catalog level applies to existing schemas and tables but not to those created in the future.
B) Privileges granted at the schema level override any catalog-level privileges and prevent access unless explicitly revoked.
C) Granting SELECT on a catalog automatically applies SELECT to all current and future schemas, tables, and views within that catalog.
D) Privileges in Unity Catalog do not cascade; SELECT must be explicitly granted on each schema and table, even if granted at the catalog level.

2. Assuming that the Databricks CLI has been installed and configured correctly, which Databricks CLI command can be used to upload a custom Python Wheel to object storage mounted with the DBFS for use with a production job?

A) configure
B) libraries
C) fs
D) workspace
E) jobs

3. A data engineer needs to create an application that will collect information about the latest job run including the repair history. How should the data engineer format the request?

A) Call/api/2.1/jobs/runs/get with the run_id and include_history parameters
B) Call/api/2.1/jobs/runs/list with the run_id and include_history parameters
C) Call/api/2.1/jobs/runs/get with the job_id and include_history parameters
D) Call/api/2.1/jobs/runs/list with the job_id and include_history parameters

4. What statement is true regarding the retention of job run history?

A) It is retained for 60 days, during which you can export notebook run results to HTML
B) It is retained until you export or delete job run logs
C) It is retained for 60 days, after which logs are archived
D) It is retained for 90 days or until the run-id is re-used through custom run configuration
E) It is retained for 30 days, during which time you can deliver job run logs to DBFS or S3

5. A Data engineer wants to run unit's tests using common Python testing frameworks on python functions defined across several Databricks notebooks currently used in production. How can the data engineer run unit tests against function that work with data in production?

A) Define and import unit test functions from a separate Databricks notebook
B) Define and unit test functions using Files in Repos
C) Define units test and functions within the same notebook
D) Run unit tests against non-production data that closely mirrors production

Solutions: