Free Databricks Databricks-Certified-Data-Analyst-Associate Practice Test & Real Exam Questions

Exam Code/Number: Databricks-Certified-Data-Analyst-Associate
Exam Name/Title: Databricks Certified Data Analyst Associate Exam
Certification Provider: Databricks
Corresponding Certification: Data Analyst

Exam Questions: 118
Updated On: Aug 20, 2026

Question #22

A data analyst created and is the owner of the managed table my_ table. They now want to change ownership of the table to a single other user using Data Explorer.
Which of the following approaches can the analyst use to complete the task?

A. Edit the Owner field in the table page by removing all access

B. Edit the Owner field in the table page by selecting the Admins group

C. Edit the Owner field in the table page by selecting the new owner ' s account

D. Edit the Owner field in the table page by removing their own account

E. Edit the Owner field in the table page by selecting All Users

Discussion 0

Correct Answer: C Vote an answer

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Question #23

After running DESCRIBE EXTENDED accounts.customers;, the following was returned:

Now, a data analyst runs the following command:
DROP accounts.customers;
Which of the following describes the result of running this command?

A. Running SELECT * FROM accounts.customers will return all rows in the table.

B. The accounts.customers table is removed from the metastore, and the underlying data files are deleted.

C. All files with the .customers extension are deleted.

D. Running SELECT * FROM delta. `dbfs:/stakeholders/customers` results in an error.

E. The accounts.customers table is removed from the metastore, but the underlying data files are untouched.

Discussion 0

Correct Answer: E Vote an answer

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Question #24

Delta Lake stores table data as a series of data files, but it also stores a lot of other information.
Which of the following is stored alongside data files when using Delta Lake?

A. Data summary visualizations

B. Owner account information

C. Table metadata

D. Table metadata, data summary visualizations, and owner account information

E. None of these

Discussion 0

Correct Answer: C Vote an answer

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Question #25

A data analyst is processing a complex aggregation on a table with zero null values and their query returns the following result:
Which of the following queries did the analyst run to obtain the above result?

Discussion 0

Correct Answer: B Vote an answer

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Question #26

Which of the following approaches can be used to connect Databricks to Fivetran for data ingestion?

A. Use Workflows to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with

B. Use Partner Connect ' s automated workflow to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with

C. Use Partner Connect ' s automated workflow to establish a cluster for Fivetran to interact with

D. Use Workflows to establish a cluster for Fivetran to interact with

E. Use Delta Live Tables to establish a cluster for Fivetran to interact with

Discussion 0

Correct Answer: C Vote an answer

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Question #27

A data analyst is working with gold-layer tables to complete an ad-hoc project. A stakeholder has provided the analyst with an additional dataset that can be used to augment the gold-layer tables already in use.
Which of the following terms is used to describe this data augmentation?

A. Data testing

B. Data enhancement

C. Last-mile

D. Ad-hoc improvements

E. Last-mile ETL

Discussion 0

Correct Answer: B Vote an answer

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Question #28

Consider the following two statements:
Statement 1:

Statement 2:
Which of the following describes how the result sets will differ for each statement when they are run in Databricks SQL?

A. Both statements will fail because Databricks SQL does not support those join types.

B. When the first statement is run, only rows from the customers table that have at least one match with the orders table on customer_id will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.

C. The first statement will return all data from the customers table and matching data from the orders table. The second statement will return all data from the orders table and matching data from the customers table. Any missing data will be filled in with NULL.

D. When the first statement is run, all rows from the customers table will be returned and only the customer_id from the orders table will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.

E. There is no difference between the result sets for both statements.

Discussion 0

Correct Answer: B Vote an answer

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