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

Exam Code:
Databricks-Certified-Data-Analyst-Associate
Exam Name:
Databricks Certified Data Analyst Associate Exam
Certification:
Vendor:
Questions:
65
Last Updated:
Jul 5, 2025
Exam Status:
Stable
Databricks Databricks-Certified-Data-Analyst-Associate

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

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Databricks Certified Data Analyst Associate Exam Questions and Answers

Question 1

How can a data analyst determine if query results were pulled from the cache?

Options:

A.

Go to the Query History tab and click on the text of the query. The slideout shows if the results came from the cache.

B.

Go to the Alerts tab and check the Cache Status alert.

C.

Go to the Queries tab and click on Cache Status. The status will be green if the results from the last run came from the cache.

D.

Go to the SQL Warehouse (formerly SQL Endpoints) tab and click on Cache. The Cache file will show the contents of the cache.

E.

Go to the Data tab and click Last Query. The details of the query will show if the results came from the cache.

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Question 2

Which of the following should data analysts consider when working with personally identifiable information (PII) data?

Options:

A.

Organization-specific best practices for Pll data

B.

Legal requirements for the area in which the data was collected

C.

None of these considerations

D.

Legal requirements for the area in which the analysis is being performed

E.

All of these considerations

Question 3

A data analyst has a managed table table_name in database database_name. They would now like to remove the table from the database and all of the data files associated with the table. The rest of the tables in the database must continue to exist.

Which of the following commands can the analyst use to complete the task without producing an error?

Options:

A.

DROP DATABASE database_name;

B.

DROP TABLE database_name.table_name;

C.

DELETE TABLE database_name.table_name;

D.

DELETE TABLE table_name FROM database_name;

E.

DROP TABLE table_name FROM database_name;