200+ Free Databricks Data Analyst Practice Questions

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Which Databricks component provides centralized governance for data and AI assets across catalogs, schemas, tables, views, and volumes?

Databricks SQL

Unity Catalog

Photon

Lakeflow Jobs

to track

2026 Statistics

Key Facts: Databricks Data Analyst Exam

Scored Questions

Official exam page

90 min

Exam Duration

Official exam page

70%

Passing Score

Databricks Academy FAQ PDF

$200

Exam Fee

Official exam page

20%

Largest Domain

SQL execution

2 years

Certification Validity

Official exam page

The current official Databricks Data Analyst Associate exam uses 45 scored multiple-choice questions in 90 minutes, costs $200, and uses a 70% passing score cited in the Databricks Academy FAQ. The heaviest public blueprint domains are executing queries with Databricks SQL and SQL Warehouses at 20%, dashboards and visualizations at 16%, analyzing queries at 15%, and AI/BI Genie at 12%. As of March 10, 2026, no public exam-count, fee, or blueprint change was found beyond the current October 30, 2025 guide and November 3, 2025 exam-page refresh; the most relevant recent platform note for prep is Databricks' January 2026 time travel and VACUUM behavior update for Unity Catalog managed tables on serverless compute and Databricks SQL.

Sample Databricks Data Analyst Practice Questions

Try these sample questions to test your Databricks Data Analyst exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 200+ question experience with AI tutoring.

1Which Databricks component provides centralized governance for data and AI assets across catalogs, schemas, tables, views, and volumes?

A.Databricks SQL

B.Unity Catalog

C.Photon

D.Lakeflow Jobs

Explanation: Unity Catalog is the governance layer for Databricks data and AI assets. It centralizes privileges, lineage, discovery, and sharing across workspaces.

2A team needs serverless SQL compute to run analyst queries and dashboards without managing clusters directly. Which Databricks component should they use?

A.SQL Warehouse

B.Catalog Explorer

C.Marketplace

D.Delta Sharing

Explanation: SQL Warehouses provide the compute used by Databricks SQL for queries, dashboards, and alerts. They are designed for analytics workloads rather than general notebook development.

3In Unity Catalog, what is the correct hierarchy for naming a table?

A.schema.catalog.table

B.catalog.table.schema

C.catalog.schema.table

D.workspace.schema.table

Explanation: Unity Catalog uses a three-level namespace: catalog, schema, then table or view. Analysts need that hierarchy to reference governed objects correctly.

4What best describes a managed table in Unity Catalog?

A.Databricks manages both the table metadata and the underlying data lifecycle

B.The data always stays in an external system that Databricks cannot track

C.Only the SQL Warehouse configuration is managed by Databricks

D.It is a read-only object created from Marketplace listings

Explanation: A managed table is governed by Unity Catalog and Databricks manages the storage lifecycle for its data files. That differs from an external table, where the data remains at a customer-specified external location.

5Which Catalog Explorer feature helps an analyst trace where a certified table came from and which downstream assets depend on it?

A.Result cache

B.Lineage

C.Query history

D.Auto Loader

Explanation: Lineage shows upstream and downstream relationships between governed objects. It helps analysts assess impact and trust by revealing where data originated and how it is used.

6What does a certified table signal in Databricks?

A.The table is automatically materialized every minute

B.The table has been reviewed and marked as a trusted source for use

C.The table is encrypted with a customer-managed key

D.The table can only be queried from notebooks

Explanation: Certification marks a table as a trusted, recommended asset for consumers. It does not change the storage format or force a specific compute path.

7Which Databricks offering lets an organization discover third-party datasets, models, notebooks, and other data products from providers?

A.Lakeflow Jobs

B.Databricks Marketplace

C.Photon

D.Query Profile

Explanation: Databricks Marketplace is the discovery and exchange layer for data products. It supports finding and accessing provider offerings directly from Databricks.

8A data steward wants to browse all schemas inside a catalog, inspect object privileges, and open lineage details from one interface. Which interface fits that need?

A.Notebook sidebar

B.Catalog Explorer

C.Query Profile

D.Genie space

Explanation: Catalog Explorer is the governance UI for browsing catalogs, schemas, tables, views, permissions, and lineage. It is built for governed asset discovery rather than SQL authoring.

9Which statement about external tables in Unity Catalog is correct?

A.They can only point to Delta Sharing recipients

B.They require Databricks to own the data lifecycle in workspace storage

C.They reference data stored at an external location while Unity Catalog manages metadata and access

D.They cannot be queried from Databricks SQL Warehouses

Explanation: External tables keep data in a user-defined storage location while Unity Catalog governs metadata and permissions. That model is useful when storage must remain outside Databricks-managed paths.

10Which Databricks component is most directly associated with optimized execution of SQL and DataFrame workloads on supported compute?

A.Photon

B.Marketplace

C.Catalog Explorer

D.Delta Sharing

Explanation: Photon is Databricks' native vectorized query engine for supported workloads. It accelerates many SQL and DataFrame operations without changing application logic.

About the Databricks Data Analyst Exam

The Databricks Certified Data Analyst Associate exam validates practical analyst skills on the Databricks Data Intelligence Platform. The current public blueprint focuses on Unity Catalog data management, Databricks SQL querying, query analysis and tuning, AI/BI Dashboards, AI/BI Genie spaces, basic analytical data modeling, and secure governed access to data assets.

Assessment

45 scored multiple-choice questions; Databricks notes that unscored items may appear

Time Limit

90 minutes

Passing Score

70%

Exam Fee

$200 (Databricks / Kryterion)

Databricks Data Analyst Exam Content Outline

11%

Understanding of Databricks Data Intelligence Platform

Core platform components, Marketplace, and Unity Catalog concepts including catalogs, schemas, managed and external tables, views, certification, lineage, and access controls.

Managing Data

Discovering and querying certified datasets, tagging assets, reading lineage, and cleaning governed data with SQL.

Importing Data

Workspace uploads, S3 and cloud-file ingestion patterns, Delta Sharing, API-driven intake, Auto Loader, and Marketplace-based access.

20%

Executing Queries with Databricks SQL and SQL Warehouses

Assistant-supported authoring, SQL Warehouse roles, federated querying, views and materialized views, aggregations, joins, unions, sorting, filtering, table creation, and Delta time travel.

15%

Analyzing Queries

Photon, query history and query insights, Delta audit history, caching behavior, Liquid clustering, and troubleshooting incorrect or slow SQL.

16%

Working with Dashboards and Visualizations in Databricks

AI/BI Dashboard construction, multi-page layout, notebooks and SQL-editor visuals, parameters, permissions, shareable links, embedding, refresh schedules, alerts, and chart-choice judgment.

12%

Developing, Sharing, and Maintaining AI/BI Genie Spaces

Genie purpose, dataset curation, sample questions, instructions, trusted assets, warehouse selection, permissions, embedding, metadata refresh, benchmarks, feedback, and optimization.

Data Modeling with Databricks SQL

Star, snowflake, and data vault modeling basics plus how those patterns align with bronze, silver, and gold medallion layers.

Securing Data

Unity Catalog security roles, three-level namespace behavior, table ownership, sharing controls, and best practices for PII protection and governed storage management.

How to Pass the Databricks Data Analyst Exam

What You Need to Know

Passing score: 70%
Assessment: 45 scored multiple-choice questions; Databricks notes that unscored items may appear
Time limit: 90 minutes
Exam fee: $200

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

Databricks Data Analyst Study Tips from Top Performers

1Study in official weight order and give the largest share of time to SQL execution, dashboards, query analysis, and Genie.

2Practice on governed Unity Catalog assets so concepts like certification, lineage, privileges, managed versus external tables, and three-level naming feel procedural rather than theoretical.

3Use Databricks SQL regularly: joins, unions, aggregates, materialized views, time travel, and cross-system querying should feel natural under time pressure.

4Build a few AI/BI Dashboards end to end, including parameters, scheduled refresh, sharing decisions, and alerts, instead of treating visualization topics as generic BI trivia.

5Create and tune at least one Genie space with curated datasets, sample questions, instructions, and trusted assets so the Genie domain is grounded in hands-on experience.

6Treat query analysis as a workflow: start in query history or query insights, inspect cache and profile behavior, then reason about Photon, data layout, and Liquid clustering.

Frequently Asked Questions

How many questions are on the Databricks Data Analyst Associate exam?

The current official exam page lists 45 scored multiple-choice questions with a 90-minute time limit. Databricks also notes that unscored items may appear and that extra time is factored into the exam for that content.

What is the passing score for Databricks Data Analyst Associate?

The Databricks Academy FAQ states that certification exams require an unrounded score of 70.00% or better. For a 45-question exam form, that translates to 32 correct answers out of 45.

What are the most heavily tested sections?

The live Databricks exam page weights executing queries with Databricks SQL and SQL Warehouses at 20%, dashboards and visualizations at 16%, analyzing queries at 15%, and AI/BI Genie spaces at 12%. Those four sections alone make up 63% of the published blueprint.

What changed for 2026 prep?

As of March 10, 2026, no public change was found to the Databricks Data Analyst Associate question count, fee, or nine-domain weighting beyond the current October 30, 2025 exam guide and November 3, 2025 exam-page refresh. The most relevant recent product update for this blueprint is Databricks' January 2026 note that time travel and VACUUM behavior changes now apply to serverless compute, Databricks SQL, and Databricks Runtime 12.2 LTS and above for Unity Catalog managed tables.

Do I need hands-on Databricks experience?

Yes. Databricks recommends related training plus at least six months of hands-on experience performing the analyst tasks listed in the exam guide. Practical comfort with Unity Catalog, Databricks SQL, dashboards, Genie, and Delta Lake behavior matters more than memorizing isolated terms.

What should I focus on if I already know basic SQL?

Push beyond plain query writing. You need to understand governed data discovery in Unity Catalog, when to use SQL Warehouses and time travel, how caching and Photon affect query analysis, how to build and share dashboards, and how to configure and improve AI/BI Genie spaces using trusted assets, instructions, and benchmarks.