📋 2026 Edition · Updated November 2026

Databricks Certified Data Analyst Associate Study Guide 2026

Q: How long does it take to prepare for the Databricks Certified Data Analyst Associate exam?

Most candidates with relevant background take 4-8 weeks studying 1-2 hours daily. Beginners may need longer depending on their current knowledge and experience.

Q: What is included in the Databricks Certified Data Analyst Associate study guide?

The study guide covers the exam syllabus, domain-wise topics, study roadmap, preparation strategy, exam tips and links to practice, mock exams, readiness testing and other preparation resources.

Q: Is this Databricks Certified Data Analyst Associate study guide enough to pass the exam?

The study guide is designed to organize your preparation around the exam syllabus and domains. Candidates should also use practice questions and timed simulations to test their ability to apply what they have learned.

Q: Can beginners use this Databricks Certified Data Analyst Associate study guide?

Yes. The guide can be used to understand the exam domains, identify the topics to study and follow a structured preparation roadmap.

Q: How many practice questions should I do?

There is no universal number that guarantees readiness. Focus on understanding why answers are correct or incorrect and use timed practice to identify gaps in your preparation.

Q: How can I identify my weak areas?

Use the Edureify readiness diagnostic to assess your preparation and identify weaker exam domains before deciding where to spend additional study time.

Complete exam coverage for the Databricks Certified Data Analyst Associate: syllabus, domains, key topics, study plan and practical exam preparation strategy.

Questions

90 min

Duration

Pass/Fail (passing percentage not published)

Passing score

Domains

Start Practice Test & Get My Study Plan Take Readiness Diagnostic

Your readiness score - take the free diagnostic to unlock your personalised analysis

Overall readiness (locked)

Understanding of Databricks Data Intelligence Platform

Managing Data

Importing Data

Executing Queries Using Databricks SQL and SQL Warehouses

Analyzing Queries

Working with Dashboards and Visualizations in Databricks

Developing, Sharing, and Maintaining AI/BI Genie Agents (Genie Spaces)

Data Modeling with Databricks SQL

Securing Data

Run 10-Minute Free Diagnostic →

Exam at a Glance

Databricks Certified Data Analyst Associate Exam Overview

Key facts about the Databricks Certified Data Analyst Associate exam structure, format and scoring.

🆔

databricks-data-analyst-associate

Exam code

📝

45 questions

Total questions

⏱

90 minutes

Duration

🎯

Pass/Fail (passing percentage not published)

Passing score

📋

9 domains

Exam domains

🏆

Certification

Credential type

ℹ️

Scoring method: Databricks reports a pass/fail result and does not publish a passing percentage on the exam page or guide. The exam may include up to 10 unidentified unscored items that do not affect the result; extra time is already built into the limit.. The exam may include unscored pilot questions - treat every question seriously.

Focus Areas

What should you study for the Databricks Certified Data Analyst Associate exam?

Start with the domains that make up the Databricks Certified Data Analyst Associate exam. Use the detailed syllabus below to work through the individual topics.

⚠️

Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.

🔐

Understanding of Databricks Data Intelligence Platform (11%)

Core platform components, Unity Catalog objects and Marketplace.

🏗

Managing Data (8%)

Discovering, tagging and cleaning governed data in Unity Catalog.

⚡

Importing Data (5%)

Ingestion approaches available to analysts.

💰

Executing Queries Using Databricks SQL and SQL Warehouses (20%)

Writing and running SQL on SQL warehouses, including views, joins and time travel.

🔄

Analyzing Queries (15%)

Diagnosing and improving query performance and validating results.

📊

Working with Dashboards and Visualizations in Databricks (16%)

Building, sharing and scheduling AI/BI dashboards and alerts.

🌐

Developing, Sharing, and Maintaining AI/BI Genie Agents (Genie Spaces) (12%)

Creating, distributing and improving Genie spaces for conversational analytics.

🛡

Data Modeling with Databricks SQL (5%)

Analytical data models and their fit with the medallion architecture.

🔐

Securing Data (8%)

Protecting data and workspace objects with Unity Catalog.

Full Syllabus

Databricks Certified Data Analyst Associate Exam Syllabus and Topics

The Databricks Certified Data Analyst Associate exam is divided into 9 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

Platform Components

Databricks SQL and SQL warehouses

Delta Lake and the Data Intelligence Engine

Lakeflow Declarative Pipelines and Lakeflow Jobs

Mosaic AI and Lakebase at a high level

Unity Catalog Objects and Marketplace

Catalogs, schemas, managed and external tables

Views, certified tables and metric views

Lineage in Catalog Explorer

Databricks Marketplace roles and features

~5 questions

11 marks

11% of exam weight

Discovery and Tagging

Finding and querying certified datasets

Governed tags on data assets

Viewing lineage including external lineage

Catalog Explorer navigation

Data Cleaning with SQL

Removing invalid records

Handling missing values

Type casting and standardization

Writing cleaned results to Unity Catalog tables

~4 questions

8 marks

8% of exam weight

Ingestion Approaches

Cloud object storage (S3) ingestion

Auto Loader

Lakeflow Connect managed connectors

API-driven ingestion

Shared and Uploaded Data

Delta Sharing

Databricks Marketplace datasets

Uploading files through the workspace UI

Creating a table from an uploaded file

~2 questions

5 marks

5% of exam weight

SQL Warehouses and Genie Code

Role of a SQL warehouse in query execution

Using Genie Code (formerly Databricks Assistant) to write and debug SQL

Lakehouse Federation joins with external sources

Creating managed and external tables from CSV, Parquet and Delta

Query Techniques

Aggregations including approx_count_distinct and summary statistics

Inner, left, right and multi-key joins

UNION vs. UNION ALL set operations

Sorting and filtering

Delta Lake time travel queries

Views and Tables

Materialized views vs. streaming tables

Dynamic views vs. materialized views

Creating materialized views in Databricks SQL

Choosing a view type for freshness and cost

~9 questions

20 marks

20% of exam weight

Performance Tools

Photon features and supported workloads

Query history and Query Insights

Query Profile to find bottlenecks

Result and disk caching

Table Optimization and Validation

Predictive Optimization use cases

Automatic Liquid Clustering

Delta table history for auditing and validation

Fixing queries to return the intended results

~7 questions

15 marks

15% of exam weight

Building Dashboards

Multi-page AI/BI dashboards with multiple datasets

Visualization, text and image widgets

Visualizations in notebooks and the SQL editor

Choosing effective visualization types

Parameters, Sharing and Alerts

Query and dashboard parameters

Sharing with users, groups and external viewers

Embedding dashboards in external apps

Scheduled refreshes

Alerts with thresholds and destinations

~7 questions

16 marks

16% of exam weight

Creating Genie Spaces

Purpose and components of a Genie space

Sample questions and domain instructions

Curated Unity Catalog datasets and trusted assets

Choosing the SQL warehouse

Sharing and Optimizing

Permissions and distribution via links and apps

Monitoring questions, accuracy and feedback

Benchmarks to validate answers

Refreshing Unity Catalog metadata

~5 questions

12 marks

12% of exam weight

Dimensional Models

Star schemas

Snowflake schemas

Fact and dimension tables

Choosing a model for an analytical workload

Data Vault and Medallion

Data vault hubs, links and satellites

Bronze, silver and gold layers

Mapping models to medallion layers

Gold-layer tables for BI

~2 questions

5 marks

5% of exam weight

Unity Catalog Namespace and Privileges

Three-level namespace (catalog.schema.table/volume)

Granting privileges on objects

Sharing settings for workspace objects

Table ownership

Data Protection Practices

Protecting PII

Storage best practices

Managed vs. external storage

Auditing access

~4 questions

8 marks

8% of exam weight

Study Plan

Databricks Certified Data Analyst Associate Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan →

Weeks 1-2

Core Services + Highest-Weighted Domain

Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.

Official exam guideDomain 1 completeCore conceptsPractice questions

Week 3

Domain 2 - Hands-on Practice

Focus on scenario-based study and reinforce concepts through practical application where applicable.

Domain 2Scenario walkthroughsHands-on practicePractice questions

Week 4

Domain 3 - Deeper Concepts

Work through complex concepts and decision scenarios.

Domain 3Scenario drillsPractice examReview

Week 5

Remaining Domains + Weak Area Targeting

Identify your weaker domains and spend focused time closing those gaps.

Remaining domainsDiagnosticTargeted reviewStudy notes

Week 6

Full Simulations + Final Preparation

Use timed simulations to test your preparation and review the reasoning behind incorrect answers.

Full mock examsWrong-answer reviewFinal reviewExam logistics

Exam Strategy

Tips to pass Databricks Certified Data Analyst Associate on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓

Executing queries on SQL warehouses is the largest section (20%) - practise joins, set operations, aggregations and time travel without autocomplete.

🔍

Build an AI/BI dashboard end to end: multiple datasets, parameters, sharing, scheduled refresh and an alert (16%).

⏭

Create and benchmark a Genie space yourself; Genie spaces are a 12% section many analysts have never configured.

📊

Learn the October 2026 terminology (Genie Code, AI/BI Genie Agents, Lakeflow) so renamed features do not slow you down.

🔁

With 45 scored questions in 90 minutes, flag long items and return; unscored items are not identified, so treat every question seriously.

Recommended Resources

Databricks Certified Data Analyst Associate Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official

Official Exam Guide

Start with the authoritative exam objectives and blueprint.

→ Vendor website

Practice Tests

Databricks Certified Data Analyst Associate Practice Test

Practice questions with explanations and domain-level performance analysis.

→ Start free practice test

Mock Exam

Databricks Certified Data Analyst Associate Mock Exam

Timed preparation under realistic exam-style conditions.

→ Take free mock exam

Training

Databricks Certified Data Analyst Associate Certification Training

Structured preparation with personalised learning support and adaptive practice.

→ Databricks Certified Data Analyst Associate certification online training

AI Tutor

Databricks Certified Data Analyst Associate AI Tutor

Get help understanding concepts and work on weak areas with AI-powered learning support.

→ Try Databricks Certified Data Analyst Associate AI tutor

Reference

Databricks Certified Data Analyst Associate Cheat Sheet

Quick-reference summaries for final revision.

→ Get free cheat sheet

Diagnostic

Databricks Certified Data Analyst Associate Readiness Test

Assess your preparation and identify weaker exam domains.

→ Check my readiness

⚠️

Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.

Reviews

What candidates say after passing

FAQ

Frequently asked questions about Databricks Certified Data Analyst Associate

How long does it take to prepare for the Databricks Certified Data Analyst Associate exam?

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.

What is included in the Databricks Certified Data Analyst Associate study guide?

The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.

Is this Databricks Certified Data Analyst Associate study guide enough to pass the exam?

The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.

Can beginners use this Databricks Certified Data Analyst Associate study guide?

Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.

How can I identify my weak areas?

Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.

How does AI improve my preparation?

Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

Ready to prepare for Databricks Certified Data Analyst Associate?

Find your weak areas and build a more focused preparation plan.

Start My Free Diagnostic →

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Databricks Certified Data Analyst Associate Structured Study Roadmap

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