Expert Answers to Databricks Exam Databricks-Certified-Data-Engineer-Associate Questions

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Databricks Certification Databricks Certified Data Engineer Associate Exam

Databricks Certified Data Engineer Associate Exam

Last Update Sep 18, 2025
Total Questions : 108

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Questions 2

A data engineer needs to create a table in Databricks using data from their organization’s existing SQLite database.

They run the following command:

Questions 2

Which of the following lines of code fills in the above blank to successfully complete the task?

Options:

org.apache.spark.sql.jdbc

autoloader

DELTA

sqlite

org.apache.spark.sql.sqlite

Discussion 0

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Questions 3

Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

Options:

Option A 3

Option B 3

Option C 3

Option D 3

Option E 3

Discussion 0

Questions 4

A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE. Three datasets are defined against Delta Lake table sources using LIVE TABLE.

The table is configured to run in Development mode using the Continuous Pipeline Mode.

Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after clicking Start to update the pipeline?

Options:

All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist until the pipeline is shut down.

All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.

All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

Discussion 0

Questions 5

In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?

Options:

Checkpointing and Write-ahead Logs

Structured Streaming cannot record the offset range of the data being processed in each trigger.

Replayable Sources and Idempotent Sinks

Write-ahead Logs and Idempotent Sinks

Checkpointing and Idempotent Sinks

Discussion 0

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2025-09-01