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

Exam Code:
Databricks-Certified-Data-Engineer-Associate
Exam Name:
Databricks Certified Data Engineer Associate Exam
Certification:
Vendor:
Questions:
230
Last Updated:
Oct 10, 2026
Exam Status:
Stable
Databricks Databricks-Certified-Data-Engineer-Associate

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

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Databricks Certified Data Engineer Associate Exam Questions and Answers

Question 1

A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when It is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.

Which approach can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

Options:

A.

O They can reduce the cluster size of the SQL endpoint.

B.

Q They can turn on the Auto Stop feature for the SQL endpoint.

C.

O They can set up the dashboard ' s SQL endpoint to be serverless.

D.

0 They can ensure the dashboard ' s SQL endpoint matches each of the queries ' SQL endpoints.

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Question 2

A data engineer is joining a very large events_df DataFrame containing billions of rows with a small country_lookup_df DataFrame containing fewer than 10,000 rows. The DataFrames are joined on the country_code column. The join is slow because of data shuffling.

How should the data engineer improve performance?

Options:

A.

Broadcast events_df when performing the join.

B.

Cache both DataFrames, and then run the same join.

C.

Persist both DataFrames, and then run the same join.

D.

Broadcast country_lookup_df when performing the join.

Question 3

A data engineer has written a function in a Databricks Notebook to calculate the population of bacteria in a given medium.

Analysts use this function in the notebook and sometimes provide input arguments of the wrong data type, which can cause errors during execution.

Which Databricks feature will help the data engineer quickly identify if an incorrect data type has been provided as input?

Options:

A.

The Data Engineer should add print statements to find out what the variable is.

B.

The Databricks debugger enables breakpoints that will raise an error if the wrong data type is submitted

C.

The Spark User interface has a debug tab that contains the variables that are used in this session.

D.

The Databricks debugger enables the use of a variable explorer to see at a glance the value of the variables.