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Databricks Databricks-Certified-Professional-Data-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Certified-Professional-Data-Engineer
Exam Name:
Databricks Certified Data Engineer Professional Exam
Certification:
Vendor:
Questions:
195
Last Updated:
Apr 15, 2026
Exam Status:
Stable
Databricks Databricks-Certified-Professional-Data-Engineer

Databricks-Certified-Professional-Data-Engineer: Databricks Certification Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Data Engineer Professional Exam Questions and Answers

Question 1

The DevOps team has configured a production workload as a collection of notebooks scheduled to run daily using the Jobs Ul. A new data engineering hire is onboarding to the team and has requested access to one of these notebooks to review the production logic.

What are the maximum notebook permissions that can be granted to the user without allowing accidental changes to production code or data?

Options:

A.

Can manage

B.

Can edit

C.

Can run

D.

Can Read

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Question 2

The data governance team is reviewing user for deleting records for compliance with GDPR. The following logic has been implemented to propagate deleted requests from the user_lookup table to the user aggregate table.

Assuming that user_id is a unique identifying key and that all users have requested deletion have been removed from the user_lookup table, which statement describes whether successfully executing the above logic guarantees that the records to be deleted from the user_aggregates table are no longer accessible and why?

Options:

A.

No: files containing deleted records may still be accessible with time travel until a BACUM command is used to remove invalidated data files.

B.

Yes: Delta Lake ACID guarantees provide assurance that the DELETE command successed fully and permanently purged these records.

C.

No: the change data feed only tracks inserts and updates not deleted records.

D.

No: the Delta Lake DELETE command only provides ACID guarantees when combined with the MERGE INTO command

Question 3

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?

Options:

A.

configure

B.

fs

C.

jobs

D.

libraries

E.

workspace