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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:
Databricks Certification
Vendor:
Databricks
Questions:
195
Last Updated:
Jan 12, 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

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Question 1

The Databricks CLI is used to trigger a run of an existing job by passing the job_id parameter. The response indicating the job run request was submitted successfully includes a field run_id. Which statement describes what the number alongside this field represents?

Options:

A.

The job_id and number of times the job has been run are concatenated and returned.

B.

The globally unique ID of the newly triggered run.

C.

The job_id is returned in this field.

D.

The number of times the job definition has been run in this workspace.

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Question 2

A production workload incrementally applies updates from an external Change Data Capture feed to a Delta Lake table as an always-on Structured Stream job. When data was initially migrated for this table, OPTIMIZE was executed and most data files were resized to 1 GB. Auto Optimize and Auto Compaction were both turned on for the streaming production job. Recent review of data files shows that most data files are under 64 MB, although each partition in the table contains at least 1 GB of data and the total table size is over 10 TB.

Which of the following likely explains these smaller file sizes?

Options:

A.

Databricks has autotuned to a smaller target file size to reduce duration of MERGE operations

B.

Z-order indices calculated on the table are preventing file compaction

C Bloom filler indices calculated on the table are preventing file compaction

C.

Databricks has autotuned to a smaller target file size based on the overall size of data in the table

D.

Databricks has autotuned to a smaller target file size based on the amount of data in each partition

Question 3

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

Options:

A.

It is retained until you export or delete job run logs

B.

It is retained for 30 days, during which time you can deliver job run logs to DBFS or S3

C.

t is retained for 60 days, during which you can export notebook run results to HTML

D.

It is retained for 60 days, after which logs are archived

E.

It is retained for 90 days or until the run-id is re-used through custom run configuration

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