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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 19, 2026
Exam Status:
Stable
Databricks Databricks-Certified-Professional-Data-Engineer

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Databricks Certified Data Engineer Professional Exam Questions and Answers

Question 1

The data governance team is reviewing code used for deleting records for compliance with GDPR. They note the following logic is used to delete records from the Delta Lake table named users .

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

Options:

A.

Yes; Delta Lake ACID guarantees provide assurance that the delete command succeeded fully and permanently purged these records.

B.

No; the Delta cache may return records from previous versions of the table until the cluster is restarted.

C.

Yes; the Delta cache immediately updates to reflect the latest data files recorded to disk.

D.

No; the Delta Lake delete command only provides ACID guarantees when combined with the merge into command.

E.

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

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Question 2

A table named user_ltv is being used to create a view that will be used by data analysis on various teams. Users in the workspace are configured into groups, which are used for setting up data access using ACLs.

The user_ltv table has the following schema:

An analyze who is not a member of the auditing group executing the following query:

Which result will be returned by this query?

Options:

A.

All columns will be displayed normally for those records that have an age greater than 18; records not meeting this condition will be omitted.

B.

All columns will be displayed normally for those records that have an age greater than 17; records not meeting this condition will be omitted.

C.

All age values less than 18 will be returned as null values all other columns will be returned with the values in user_ltv.

D.

All records from all columns will be displayed with the values in user_ltv.

Question 3

A data organization has adopted Delta Sharing to securely distribute curated datasets from a Unity Catalog-enabled workspace . The data engineering team shares large Delta tables internally via Databricks-to-Databricks and externally via Open Sharing for aggregated reports. While testing, they encounter challenges related to access control, data update visibility, and shareable object types.

What is a limitation of the Delta Sharing protocol or implementation when used with Databricks-to-Databricks or Open Sharing?

Options:

A.

With Open Sharing, recipients cannot access Volumes, Models, or notebooks — only static Delta tables are supported.

B.

Delta Sharing does not support Unity Catalog–enabled tables; only legacy Hive Metastore tables are shareable.

C.

With Databricks-to-Databricks sharing, Unity Catalog recipients must re-ingest data manually using COPY INTO or REST APIs.

D.

Delta Sharing (both Databricks-to-Databricks and Open Sharing) allows recipients to modify the source data if they have select privileges.