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Free Databricks Databricks-Certified-Data-Analyst-Associate Exam Actual Questions

The questions for Databricks-Certified-Data-Analyst-Associate were last updated On Dec 16, 2025

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Question No. 1

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?

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

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

CEdit the Owner field in the table page by selecting the new owner's account

DEdit the Owner field in the table page by selecting the Admins group

EEdit the Owner field in the table page by removing all access
The Owner field in the table page shows the current owner of the table and allows the owner to change it to another user or group. To change the ownership of the table, the owner can click on the Owner field and select the new owner from the drop-down list.This will transfer the ownership of the table to the selected user or group and remove the previous owner from the list of table access control entries1. The other options are incorrect because:
A .Removing the owner's account from the Owner field will not change the ownership of the table, but will make the table ownerless2.
B .Selecting All Users from the Owner field will not change the ownership of the table, but will grant all users access to the table3.
D .Selecting the Admins group from the Owner field will not change the ownership of the table, but will grant the Admins group access to the table3.
E .Removing all access from the Owner field will not change the ownership of the table, but will revoke all access to the table4.Reference:
1: Change table ownership
2: Ownerless tables
3: Table access control
4: Revoke access to a table

Show Answer

Correct Answer: C

Question No. 2

A data analyst has been asked to use the below table sales_table to 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?

AOption A

BOption B

COption C

DOption D
The correct query to get the percentage rank of products within region by the sales is option B. This query uses the PERCENT_RANK() window function to calculate the relative rank of each product within each region based on the sales amount. The window function is partitioned by region and ordered by sales in descending order. The result is aliased as rank and displayed along with the region and product columns. The other options are incorrect because:
A . Option A uses the RANK() window function instead of the PERCENT_RANK() function. The RANK() function returns the rank of each row within the partition, but not the percentage rank. Also, the query does not have a GROUP BY clause, which is required for aggregate functions like SUM().
C . Option C uses the DENSE_RANK() window function instead of the PERCENT_RANK() function. The DENSE_RANK() function returns the rank of each row within the partition, but not the percentage rank. Also, the query does not have a GROUP BY clause, which is required for aggregate functions like SUM().
D . Option D uses the ROW_NUMBER() window function instead of the PERCENT_RANK() function. The ROW_NUMBER() function returns the sequential number of each row within the partition, but not the percentage rank. Also, the query does not have a GROUP BY clause, which is required for aggregate functions like SUM().Reference:
1: PERCENT_RANK (Transact-SQL)
2: Window functions in Databricks SQL
3: Databricks Certified Data Analyst Associate Exam Guide

Show Answer

Correct Answer: B

Question No. 3

A data scientist has asked a data analyst to create histograms for every continuous variable in a data set. The data analyst needs to identify which columns are continuous in the data set.

What describes a continuous variable?

AA quantitative variable that never stops changing

BA quantitative variable Chat can take on a finite or countably infinite set of values

CA quantitative variable that can take on an uncountable set of values

DA categorical variable in which the number of categories continues to increase over time
A continuous variable is a type of quantitative variable that can assume an infinite number of values within a given range. This means that between any two possible values, there can be an infinite number of other values. For example, variables such as height, weight, and temperature are continuous because they can be measured to any level of precision, and there are no gaps between possible values. This is in contrast to discrete variables, which can only take on specific, distinct values (e.g., the number of children in a family). Understanding the nature of continuous variables is crucial for data analysts, especially when selecting appropriate statistical methods and visualizations, such as histograms, to accurately represent and analyze the data.

Show Answer

Correct Answer: C

Question No. 4

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

AIt has increased customization capabilities

BIt is easy to migrate existing SQL queries to Databricks SQL

CIt allows for the use of Photon's computation optimizations

DIt is more performant than other SQL dialects

EIt is more compatible with Spark's interpreters
Databricks SQL uses ANSI SQL as its standard SQL dialect, which means it follows the SQL specifications defined by the American National Standards Institute (ANSI). This makes it easier to migrate existing SQL queries from other data warehouses or platforms that also use ANSI SQL or a similar dialect, such as PostgreSQL, Oracle, or Teradata.By using ANSI SQL, Databricks SQL avoids surprises in behavior or unfamiliar syntax that may arise from using a non-standard SQL dialect, such as Spark SQL or Hive SQL12.Moreover, Databricks SQL also adds compatibility features to support common SQL constructs that are widely used in other data warehouses, such as QUALIFY, FILTER, and user-defined functions2.Reference:ANSI compliance in Databricks Runtime,Evolution of the SQL language at Databricks: ANSI standard by default and easier migrations from data warehouses

Show Answer

Correct Answer: B

Question No. 5

What does Partner Connect do when connecting Power Bl and Tableau?

ACreates a Personal Access Token. downloads and installs an ODBC driver, and downloads a configuration file for connection by Power Bl or Tableau to a SQL Warehouse (formerly known as a SQL Endpoint).

BCreates a Personal Access Token for authentication into Databricks SQL and emails it to you.

CDownloads a configuration file for connection by Power Bl or Tableau to a SQL Warehouse (formerly known as a SQL Endpoint).

DDownloads and installs an ODBC driver.
When connecting Power BI and Tableau through Databricks Partner Connect, the system automates several steps to streamline the integration process:
Personal Access Token Creation: Partner Connect generates a Databricks personal access token, which is essential for authenticating and establishing a secure connection between Databricks and the BI tools.
ODBC Driver Installation: The appropriate ODBC driver is downloaded and installed. This driver facilitates communication between the BI tools and Databricks, ensuring compatibility and optimal performance.
Configuration File Download: A configuration file tailored for the selected BI tool (Power BI or Tableau) is provided. This file contains the necessary connection details, simplifying the setup process within the BI tool.
By automating these steps, Partner Connect ensures a seamless and efficient integration, reducing manual configuration efforts and potential errors.

Show Answer

Correct Answer: A