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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Databricks-Certified-Data-Analyst-Associate Practice Questions with Explained Answers

5 Free Questions · Last reviewed: September 17, 2026 · Prepared & Reviewed by the ValidExamDumps Editorial Team

118 Practice Questions (Our Bank)

90 minutes Exam Duration

70% Passing Score

USD 200 Exam Fee

Exam Code: Databricks-Certified-Data-Analyst-Associate
Full Name: Databricks Certified Data Analyst Associate Exam
Issuing Body: Databricks
Question Format (Our Bank): Multiple Choice
Delivery: Online proctored
Eligibility: No prerequisites. 6+ months hands-on experience recommended
Validity: 2 years

Question 1 Domain 2Data Management

A data analyst wants to create a dashboard with three main sections: Development, Testing, and Production. They want all three sections on the same dashboard, but they want to clearly designate the sections using text on the dashboard.

Which of the following tools can the data analyst use to designate the Development, Testing, and Production sections using text?

ASeparate endpoints for each section

BSeparate queries for each section

CMarkdown-based text boxes

DDirect text written into the dashboard in editing mode

ESeparate color palettes for each section
Markdown-based text boxes are useful as labels on a dashboard. They allow the data analyst to add text to a dashboard using the %md magic command in a notebook cell and then select the dashboard icon in the cell actions menu. The text can be formatted using markdown syntax and can include headings, lists, links, images, and more. The text boxes can be resized and moved around on the dashboard using the float layout option.Reference:Dashboards in notebooks,How to add text to a dashboard in Databricks

Correct Answer: C

Explanation The Data Explorer is the dedicated interface in Databricks where users can view and manage database and table objects along with their associated permissions. A data engineer can navigate to a specific Delta table in Data Explorer and check their access rights there. Other options like the SQL editor or dashboards don't provide permission management features. Workspace settings handle broader admin controls rather than individual table permissions.

Question 2 Domain 1Databricks SQL

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

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

BUse Delta Live Tables to establish a cluster for Fivetran to interact with

CUse Partner Connect's automated workflow to establish a cluster for Fivetran to interact with

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

EUse Workflows to establish a cluster for Fivetran to interact with
Partner Connect is a feature that allows you to easily connect your Databricks workspace to Fivetran and other ingestion partners using an automated workflow. You can select a SQL warehouse or a cluster as the destination for your data replication, and the connection details are sent to Fivetran. You can then choose from over 200 data sources that Fivetran supports and start ingesting data into Delta Lake.Reference:Connect to Fivetran using Partner Connect,Use Databricks with Fivetran

Correct Answer: C

Explanation The SQL Editor page is the primary workspace in Databricks SQL designed for writing and executing queries. It features a query pane for typing SQL statements and a results pane for viewing outputs in tables or charts. While dashboards and other pages exist in Databricks SQL, they serve different purposes like visualization and sharing results. The SQL Editor is specifically built for query development and execution.

Question 3 Domain 4Data Visualization and Dashboarding

A database was created in Databricks SQL using the following statement:

CREATE SCHEMA accounting LOCATION 'dbfs:/accounting/data';

Where will data for this database be stored?

Adbfs:/accounting/data/accounting.db

Bdbfs:/accounting/data

Cdbfs:/accounting/data.db

Ddbfs:/user/hive/warehouse/accounting.db

Correct Answer: B

Explanation The incorrect statement claims that only workspace administrators can configure refresh schedules. In reality, any user with sufficient permissions on the specific query or dashboard can set up a refresh schedule independently. Workspace administrator privileges are not a requirement. This misconception might stem from confusion with other workspace-level features that do require admin access, but refresh scheduling operates at the query and dashboard level.

Question 4 Domain 1Databricks SQL

What describes Partner Connect in Databricks?

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

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

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

DIt is a feature that runs Databricks partner tools on a Databricks SQL Warehouse (formerly known as a SQL endpoint).
Databricks Partner Connect is designed to simplify and streamline the integration between Databricks and its technology partners. It provides a unified interface within the Databricks platform that facilitates the discovery and connection to a variety of data, analytics, and AI tools. By automating the configuration of necessary resources such as clusters, tokens, and connection files, Partner Connect enables seamless, bi-directional data flow between Databricks and partner solutions. This integration enhances the overall functionality of the Databricks Lakehouse by allowing users to easily incorporate external tools and services into their workflows, thereby expanding the platform's capabilities and fostering a more cohesive data ecosystem.https://www.databricks.com/blog/2021/11/18/now-generally-available-introducing-databricks-partner-connect-to-discover-and-connect-popular-data-and-ai-tools-to-the-lakehouse?utm_source=chatgpt.com

Correct Answer: B

Explanation Partner Connect is Databricks' integration solution that automates the setup process for third-party tools like Fivetran. Using Partner Connect provides a streamlined workflow that handles cluster configuration automatically without requiring manual setup. This approach is preferable to manual credential entry or direct API connections because it reduces configuration complexity and security risks. The automated workflow ensures proper cluster setup for Fivetran data ingestion.

Question 5 Domain 3SQL in the Lakehouse

A data engineer needs to use a Delta table as part of a data pipeline, but they do not know if they have the appropriate permissions.

In which of the following locations can the data engineer review their permissions on the table?

Correct Answer: E

Domain 1: Databricks SQL 22%

Master the Databricks SQL query editor and dashboard creation for data analysis and visualization. Learn how to connect ingestion tools, visualization platforms, and work with the medallion architecture pattern for organizing data layers.

Sample questions from this domain above: Q2 Q4

Domain 4: Data Visualization and Dashboarding 18%

Create visualizations using table, details, counter, and pivot formats within Databricks SQL. Build interactive dashboards with query parameters, scheduling, alerts, and share them with appropriate access controls.

Sample question from this domain above: Q3

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