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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:
Databricks Certification
Vendor:
Databricks
Questions:
176
Last Updated:
Jun 9, 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

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Question 1

A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team’s queries uses the same SQL endpoint.

Which of the following approaches can the data engineering team use to improve the latency of the team’s queries?

Options:

A.

They can increase the cluster size of the SQL endpoint.

B.

They can increase the maximum bound of the SQL endpoint’s scaling range.

C.

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

D.

They can turn on the Serverless feature for the SQL endpoint.

E.

They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to “Reliability Optimized.”

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Question 2

A data engineer is working on a Databricks project that utilizes cloud storage. The data engineer wants to load several json files from containers on a storage account as soon as the file arrives within the storage account.

Which syntax should the data engineer follow to first load the files into a dataframe and check that it is working as expected using Python?

Options:

A.

df = spark.readStream.format("json").load("input/path")

B.

df = spark.readStream.format("cloud"),option("json").load("/input/path")

C.

df = spark.readStream.format("cloudFiles") .option("cloudFiles.format", "json") .load("/input/path")

D.

df = spark.read.json("inp i./path")

Question 3

A new data engineering team team has been assigned to an ELT project. The new data engineering team will need full privileges on the table sales to fully manage the project.

Which command can be used to grant full permissions on the database to the new data engineering team?

Options:

A.

grant all privileges on table sales TO team;

B.

GRANT SELECT ON TABLE sales TO team;

C.

GRANT SELECT CREATE MODIFY ON TABLE sales TO team;

D.

GRANT ALL PRIVILEGES ON TABLE team TO sales;

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