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 May 3, 2026
Total Questions : 176

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Questions 2

A data engineer wants to create an external table in Databricks that references data stored in an Azure Data Lake Storage (ADLS) location. The goal is to enable Databricks to access and query this external data without moving it into Databricks-managed storage.

Which step should the data engineer take to successfully create the external table?

Options:

Use the CREATE TABLE statement and specify the LOCATION clause with the path to the external data.

Use the CREATE UNMANAGED TABLE statement without specifying a LOCATION clause.

Use the CREATE EXTERNAL TABLE statement without specifying a LOCATION clause.

Use the CREATE MANAGED TABLE statement and specify the LOCATION clause with the path to the external data.

Discussion 0

Questions 3

A data engineer needs to provide access to a group named manufacturing-team. The team needs privileges to create tables in the quality schema.

Which set of SQL commands will grant a group named manufacturing-team to create tables in a schema named production with the parent catalog named manufacturing with the least privileges?

Questions 3

Options:

Option A

Option B

Option C

Option D

Discussion 0

Questions 4

Which of the following data lakehouse features results in improved data quality over a traditional data lake?

Options:

A data lakehouse provides storage solutions for structured and unstructured data.

A data lakehouse supports ACID-compliant transactions.

A data lakehouse allows the use of SQL queries to examine data.

A data lakehouse stores data in open formats.

A data lakehouse enables machine learning and artificial Intelligence workloads.

Discussion 0

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Questions 5

Which of the following benefits is provided by the array functions from Spark SQL?

Options:

An ability to work with data in a variety of types at once

An ability to work with data within certain partitions and windows

An ability to work with time-related data in specified intervals

An ability to work with complex, nested data ingested from JSON files

An ability to work with an array of tables for procedural automation