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Databricks Certified Data Analyst Associate Exam Question and Answers

Databricks Certified Data Analyst Associate Exam

Last Update Nov 30, 2025
Total Questions : 65

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Questions 1

A data analyst needs to share a Databricks SQL dashboard with stakeholders that are not permitted to have accounts in the Databricks deployment. The stakeholders need to be notified every time the dashboard is refreshed.

Which approach can the data analyst use to accomplish this task with minimal effort/

Options:

A.  

By granting the stakeholders' email addresses permissions to the dashboard

B.  

By adding the stakeholders' email addresses to the refresh schedule subscribers list

C.  

By granting the stakeholders' email addresses to the SQL Warehouse (formerly known as endpoint) subscribers list

D.  

By downloading the dashboard as a PDF and emailing it to the stakeholders each time it is refreshed

Discussion 0
Questions 2

A data analyst has recently joined a new team that uses Databricks SQL, but the analyst has never used Databricks before. The analyst wants to know where in Databricks SQL they can write and execute SQL queries.

On which of the following pages can the analyst write and execute SQL queries?

Options:

A.  

Data page

B.  

Dashboards page

C.  

Queries page

D.  

Alerts page

E.  

SQL Editor page

Discussion 0
Questions 3

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?

Options:

A.  

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.

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.  

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

D.  

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

E.  

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.

Discussion 0
Questions 4

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?

Options:

A.  

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

B.  

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

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 selecting the Admins group

E.  

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

Discussion 0
Questions 5

Where in the Databricks SQL workspace can a data analyst configure a refresh schedule for a query when the query is not attached to a dashboard or alert?

Options:

A.  

Data bxplorer

B.  

The Visualization editor

C.  

The Query Editor

D.  

The Dashboard Editor

Discussion 0
Questions 6

The stakeholders.customers table has 15 columns and 3,000 rows of data. The following command is run:

After runningSELECT * FROM stakeholders.eur_customers, 15 rows are returned. After the command executes completely, the user logs out of Databricks.

After logging back in two days later, what is the status of thestakeholders.eur_customersview?

Options:

A.  

The view remains available and SELECT * FROM stakeholders.eur_customers will execute correctly.

B.  

The view has been dropped.

C.  

The view is not available in the metastore, but the underlying data can be accessed with SELECT * FROM delta. `stakeholders.eur_customers`.

D.  

The view remains available but attempting to SELECT from it results in an empty result set because data in views are automatically deleted after logging out.

E.  

The view has been converted into a table.

Discussion 0
Questions 7

An analyst writes a query that contains a query parameter. They then add an area chart visualization to the query. While adding the area chart visualization to a dashboard, the analyst chooses "Dashboard Parameter" for the query parameter associated with the area chart.

Which of the following statements is true?

Options:

A.  

The area chart will use whatever is selected in the Dashboard Parameter while all or the other visualizations will remain changed regardless of their parameter use.

B.  

The area chart will use whatever is selected in the Dashboard Parameter along with all of the other visualizations in the dashboard that use the same parameter.

C.  

The area chart will use whatever value is chosen on the dashboard at the time the area chart is added to the dashboard.

D.  

The area chart will use whatever value is input by the analyst when the visualization is added to the dashboard. The parameter cannot be changed by the user afterwards.

E.  

The area chart will convert to a Dashboard Parameter.

Discussion 0
Questions 8

A data analysis team is working with the table_bronze SQL table as a source for one of its most complex projects. A stakeholder of the project notices that some of the downstream data is duplicative. The analysis team identifies table_bronze as the source of the duplication.

Which of the following queries can be used to deduplicate the data from table_bronze and write it to a new table table_silver?

A)

CREATE TABLE tableĀ­_silver AS

SELECT DISTINCT *

FROM table_bronze;

B)

CREATE TABLE table_silver AS

INSERT *

FROM table_bronze;

C)

CREATE TABLE table_silver AS

MERGE DEDUPLICATE *

FROM table_bronze;

D)

INSERT INTO TABLE table_silver

SELECT * FROM table_bronze;

E)

INSERT OVERWRITE TABLE table_silver

SELECT * FROM table_bronze;

Options:

A.  

Option A

B.  

Option B

C.  

Option C

D.  

Option D

E.  

Option E

Discussion 0
Questions 9

A data analyst runs the following command:

INSERT INTO stakeholders.suppliers TABLE stakeholders.new_suppliers;

What is the result of running this command?

Options:

A.  

The suppliers table now contains both the data it had before the command was run and the data from the new suppliers table, and any duplicate data is deleted.

B.  

The command fails because it is written incorrectly.

C.  

The suppliers table now contains both the data it had before the command was run and the data from the new suppliers table, including any duplicate data.

D.  

The suppliers table now contains the data from the new suppliers table, and the new suppliers table now contains the data from the suppliers table.

E.  

The suppliers table now contains only the data from the new suppliers table.

Discussion 0
Questions 10

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?

Options:

A.  

None of these

B.  

Table metadata, data summary visualizations, and owner account information

C.  

Table metadata

D.  

Data summary visualizations

E.  

Owner account information

Discussion 0
Questions 11

A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every minute.

A data analyst has created a dashboard based on this gold-level data. The project stakeholders want to see the results in the dashboard updated within one minute or less of new data becoming available within the gold-level tables.

Which of the following cautions should the data analyst share prior to setting up the dashboard to complete this task?

Options:

A.  

The required compute resources could be costly

B.  

The gold-level tables are not appropriately clean for business reporting

C.  

The streaming data is not an appropriate data source for a dashboard

D.  

The streaming cluster is not fault tolerant

E.  

The dashboard cannot be refreshed that quickly

Discussion 0
Questions 12

A data analyst is attempting to drop a table my_table. The analyst wants to delete all table metadata and data.

They run the following command:

DROP TABLE IF EXISTS my_table;

While the object no longer appears when they run SHOW TABLES, the data files still exist.

Which of the following describes why the data files still exist and the metadata files were deleted?

Options:

A.  

The table's data was larger than 10 GB

B.  

The table did not have a location

C.  

The table was external

D.  

The table's data was smaller than 10 GB

E.  

The table was managed

Discussion 0
Questions 13

A data analyst has been asked to use the below tablesales_tableto get the percentage rank of products within region by the sales:

The result of the query should look like this:

Which of the following queries will accomplish this task?

A)

B)

C)

D)

Options:

A.  

Option A

B.  

Option B

C.  

Option C

D.  

Option D

Discussion 0
Questions 14

What describes the variance of a set of values?

Options:

A.  

Variance is a measure of how far a single observed value is from a set ot va IN

B.  

Variance is a measure of how far an observed value is from the variable's maximum or minimum value.

C.  

Variance is a measure of central tendency of a set of values.

D.  

Variance is a measure of how far a set of values is spread out from the sets central value.

Discussion 0
Questions 15

A data analyst has been asked to configure an alert for a query that returns the income in the accounts_receivable table for a date range. The date range is configurable using a Date query parameter.

The Alert does not work.

Which of the following describes why the Alert does not work?

Options:

A.  

Alerts don't work with queries that access tables.

B.  

Queries that return results based on dates cannot be used with Alerts.

C.  

The wrong query parameter is being used. Alerts only work with Date and Time query parameters.

D.  

Queries that use query parameters cannot be used with Alerts.

E.  

The wrong query parameter is being used. Alerts only work with drogdown list query parameters, not dates.

Discussion 0
Questions 16

Which of the following benefits of using Databricks SQL is provided by Data Explorer?

Options:

A.  

It can be used to run UPDATE queries to update any tables in a database.

B.  

It can be used to view metadata and data, as well as view/change permissions.

C.  

It can be used to produce dashboards that allow data exploration.

D.  

It can be used to make visualizations that can be shared with stakeholders.

E.  

It can be used to connect to third party Bl cools.

Discussion 0
Questions 17

What describes Partner Connect in Databricks?

Options:

A.  

it allows for free use of Databricks partner tools through a common API.

B.  

it allows multi-directional connection between Databricks and Databricks partners easier.

C.  

It exposes connection information to third-party tools via Databricks partners.

D.  

It is a feature that runs Databricks partner tools on a Databricks SQL Warehouse (formerly known as a SQL endpoint).

Discussion 0
Questions 18

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

Discussion 0
Questions 19

Which of the following is a benefit of Databricks SQL using ANSI SQL as its standard SQL dialect?

Options:

A.  

It has increased customization capabilities

B.  

It is easy to migrate existing SQL queries to Databricks SQL

C.  

It allows for the use of Photon's computation optimizations

D.  

It is more performant than other SQL dialects

E.  

It is more compatible with Spark's interpreters

Discussion 0