Databricks-Certified-Data-Analyst-Associate Practice Questions

Q: What SQL knowledge do I need before taking the Data Analyst Associate exam?

You should have a basic to intermediate understanding of SQL before sitting this exam. The exam tests your ability to write and optimize queries using ANSI SQL standards within the Databricks Lakehouse, so hands-on SQL experience is essential. Six months of practical experience with data analysis tasks is recommended, though not formally required.

Q: How much time should I spend preparing for the Databricks Certified Data Analyst Associate exam?

Most candidates prepare for four to eight weeks, depending on their existing SQL knowledge and Databricks experience. Your preparation window depends heavily on how familiar you already are with database queries and whether you have hands-on access to a Databricks workspace for practice.

Q: What score do I need to pass the exam and how is it calculated?

You need to score 70% or higher to pass, which translates to approximately 32 correct answers out of 45 scored questions. The exam uses scaled scoring, so your total score across all domains determines whether you pass rather than requiring you to score well on each domain individually.

Q: Is the Data Analyst Associate exam harder than the Data Engineer Associate exam?

Both exams cost $200 and require a 70% passing score, but they test different skill sets. The Data Analyst exam focuses on Databricks SQL, data visualization, and dashboarding, while the Data Engineer exam covers Apache Spark, ETL processes, and infrastructure management. Which is harder depends on whether your background is in analytics or engineering.

Q: What happens on exam day and how is the test delivered?

The exam is delivered online through a third-party proctoring service. You will answer 45 multiple-choice questions in 90 minutes from your own computer with a proctor monitoring your session. Unofficial results appear immediately after you finish, though official score confirmation comes after the proctor reviews the recording.

Q: Can I retake the exam if I fail, and what is the waiting period?

Yes, you can retake the exam as many times as you need. You must wait 14 days after failing before scheduling your next attempt, and each retake costs the full $200 exam fee. The waiting period gives you time to study your weak areas before your next try.

Q: How long does the Databricks Certified Data Analyst certification stay valid?

Your certification remains valid for two years from the date it is awarded. You will receive advance notice when your certification is about to expire, giving you time to decide whether to recertify by taking the current version of the exam.

Q: What is the relationship between the Data Analyst Associate exam and other Databricks certifications?

The Data Analyst Associate is an entry-level certification focused on Databricks SQL and analytics. It sits alongside the Data Engineer Associate exam in Databricks's certification track. You can pursue either credential independently, but many professionals start with the Data Analyst exam if they come from an analytics background.

Q: Which exam domains do candidates usually find most challenging and why?

The SQL in the Lakehouse domain is worth 29% of the exam and challenges many candidates because it requires both deep SQL knowledge and understanding of Databricks-specific optimizations like Liquid clustering and UDFs. Strong practice with actual Databricks SQL queries and familiarity with query optimization techniques make this domain more manageable.

Q: What job role does this certification prepare me for?

This certification validates your skills as a data analyst using the Databricks platform. It demonstrates to employers that you can manage data in Unity Catalog, write optimized SQL queries, create dashboards and visualizations, and perform analytics on lakehouse data. Many organizations across technology, finance, healthcare, and retail seek certified data analysts with this credential.

Question 1

A data analyst is using Databricks Unity Catalog. The datasets are tagged by sensitivity, and confidential data is marked with the tag key confidential. The data analyst needs to quickly find all tables tagged as confidential to review their access permissions in the Databricks workspace search bar.

Which search key text should the data analyst use to find these tables?

Accepted Answer

tag:confidential

Answer

confidential:true

Answer

tag=confidential

Answer

search tag = 'confidential'

Question 2

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?

Accepted Answer

DROP TABLE database_name.table_name;

Answer

DROP DATABASE database_name;

Answer

DELETE TABLE database_name.table_name;

Answer

DELETE TABLE table_name FROM database_name;

Answer

DROP TABLE table_name FROM database_name;
The DROP TABLE command removes a table from the metastore and deletes the associated data files. The syntax for this command is DROP TABLE [IF EXISTS] [database_name.]table_name;. The optional IF EXISTS clause prevents an error if the table does not exist. The optional database_name. prefix specifies the database where the table resides. If not specified, the current database is used. Therefore, the correct command to remove the table table_name from the database database_name and all of the data files associated with it is DROP TABLE database_name.table_name;. The other commands are either invalid syntax or would produce undesired results.Reference:Databricks - DROP TABLE

Question 3

A business analyst has been asked to create a data entity/object called sales_by_employee. It should always stay up-to-date when new data are added to the sales table. The new entity should have the columns sales_person, which will be the name of the employee from the employees table, and sales, which will be all sales for that particular sales person. Both the sales table and the employees table have an employee_id column that is used to identify the sales person.

Which of the following code blocks will accomplish this task?

A)

Question 3 exhibit

B)

Question 3 exhibit

C)

Question 3 exhibit

D)

Question 3 exhibit

Accepted Answer

Option
The SQL code provided in Option D is the correct way to create a view namedsales_by_employeethat will always stay up-to-date with the sales and employees tables. The code uses theCREATE OR REPLACE VIEWstatement to define a new view that joins the sales and employees tables on the employee_id column. It selects the employee_name as sales_person and all sales for each employee, ensuring that the data entity/object is always up-to-date when new data are added to these tables.

Answer

Option

Answer

Option

Answer

Option

Question 4

A data analyst has been asked to provide a list of options on how to share a dashboard with a client. It is a security requirement that the client does not gain access to any other information, resources, or artifacts in the database.

Which of the following approaches cannot be used to share the dashboard and meet the security requirement?

Accepted Answer

Generate a Personal Access Token that is good for 1 day and share it with the client.

Answer

Download the Dashboard as a PDF and share it with the client.

Answer

Set a refresh schedule for the dashboard and enter the client's email address in the 'Subscribers' box.

Answer

Take a screenshot of the dashboard and share it with the client.

Answer

Download a PNG file of the visualizations in the dashboard and share them with the client.
The approach that cannot be used to share the dashboard and meet the security requirement is D. Generating a Personal Access Token that is good for 1 day and sharing it with the client.This approach would give the client access to the Databricks workspace using the token owner's identity and permissions, which could expose other information, resources, or artifacts in the database1. The other approaches can be used to share the dashboard and meet the security requirement because:
A .Downloading the Dashboard as a PDF and sharing it with the client would only provide a static snapshot of the dashboard without any interactive features or access to the underlying data2.
B .Setting a refresh schedule for the dashboard and entering the client's email address in the ''Subscribers'' box would send the client an email with the latest dashboard results as an attachment or a link to a secure web page3. The client would not be able to access the Databricks workspace or the dashboard itself.
C .Taking a screenshot of the dashboard and sharing it with the client would also only provide a static snapshot of the dashboard without any interactive features or access to the underlying data4.
E .Downloading a PNG file of the visualizations in the dashboard and sharing them with the client would also only provide a static snapshot of the visualizations without any interactive features or access to the underlying data5.Reference:
1: Personal access tokens
2:Download as PDF
3:Automatically refresh a dashboard
4:Take a screenshot
5:Download a PNG file

Question 5

A data analyst has created a user-defined function using the following line of code:

CREATE FUNCTION price(spend DOUBLE, units DOUBLE)

RETURNS DOUBLE

RETURN spend / units;

Which of the following code blocks can be used to apply this function to the customer_spend and customer_units columns of the table customer_summary to create column customer_price?

Accepted Answer

SELECT price(customer_spend, customer_units) AS customer_price FROM customer_summary
A user-defined function (UDF) is a function defined by a user, allowing custom logic to be reused in the user environment1.To apply a UDF to a table, the syntax isSELECT udf_name(column_name) AS alias FROM table_name2. Therefore, option E is the correct way to use the UDFpriceto create a new columncustomer_pricebased on the existing columnscustomer_spendandcustomer_unitsfrom the tablecustomer_summary.Reference:
What are user-defined functions (UDFs)?
User-defined scalar functions - SQL
V

Answer

SELECT PRICE customer_spend, customer_units AS customer_price FROM customer_summary

Answer

SELECT price FROM customer_summary

Answer

SELECT function(price(customer_spend, customer_units)) AS customer_price FROM customer_summary

Answer

SELECT double(price(customer_spend, customer_units)) AS customer_price FROM customer_summary

Question 6

A table named user_ltv is being used to create a view that will be used by data analysts on various teams. Users in the workspace are configured into groups, which are used for setting up data access using ACLs.

The user_ltv table has the following schema:

email STRING, age INT, ltv INT

The following view definition is executed:

CREATE VIEW user_ltv_no_minors AS

SELECT email, age, ltv

FROM user_ltv

WHERE

CASE

WHEN is_member("auditing") THEN TRUE

ELSE age >= 18

END;

An analyst who is not a member of the auditing group executes the following query:

SELECT * FROM user_ltv_no_minors;

Which statement describes the results returned by this query?

Accepted Answer

All columns will be displayed normally for those records that have an age greater than 17; records not meeting this condition will be omitted.

Answer

All age values less than 18 will be returned as null values, all other columns will be returned with the values in user_ltv.

Answer

All values for the age column will be returned as null values, all other columns will be returned with the values in user_ltv.

Answer

All records from all columns will be displayed with the values in user_ltv.

Answer

All columns will be displayed normally for those records that have an age greater than 18; records not meeting this condition will be omitted.

Question 7

A data analyst has been asked to produce a visualization that shows the flow of users through a website. Which of the following is used for visualizing this type of flow?

Accepted Answer

Sankey
A Sankey diagram is a type of visualization that shows the flow of data between different nodes or categories. It is often used to represent the movement of users through a website, as it can show the paths they take, the sources they come from, the pages they visit, and the outcomes they achieve. A Sankey diagram consists of links and nodes, where the links represent the volume or weight of the flow, and the nodes represent the stages or steps of the flow. The width of the links is proportional to the amount of flow, and the color of the links can indicate different attributes or segments of the flow. A Sankey diagram can help identify the most common or popular user journeys, the bottlenecks or drop-offs in the flow, and the opportunities for improvement or optimization.Reference: The answer can be verified from Databricks documentation which provides examples and instructions on how to create Sankey diagrams using Databricks SQL Analytics and Databricks Visualizations. Reference links: Databricks SQL Analytics - Sankey Diagram, Databricks Visualizations - Sankey Diagram

Answer

Heatmap

Answer

IChoropleth

Answer

Word Cloud

Answer

Pivot Table

Databricks Databricks-Certified-Data-Analyst-Associate Practice Exam Questions & Answers

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Free Databricks-Certified-Data-Analyst-Associate Practice Questions

Question 1 Domain 4 Data Visualization and Dashboarding

Question 2 Domain 1 Databricks SQL

Question 3 Domain 2 Data Management

Question 4 Domain 1 Databricks SQL

Question 5 Domain 2 Data Management

Question 6 Domain 3 SQL in the Lakehouse

Question 7 Domain 4 Data Visualization and Dashboarding

What the Databricks Databricks-Certified-Data-Analyst-Associate Exam Covers

Domain 1 Databricks SQL

Domain 2 Data Management

Domain 3 SQL in the Lakehouse

Domain 4 Data Visualization and Dashboarding

Domain 5 Analytics applications

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