Databricks Certified Generative AI Engineer Associate Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
๐Ÿ“‹ 2026 Edition  ยท  Updated November 2026

Databricks Certified Generative AI Engineer Associate Study Guide 2026

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

45
Questions
90 min
Duration
Pass/Fail (passing percentage not published)
Passing score
6
Domains
95%
First-attempt pass rate
47K+
Candidates prepared
4.9โ˜…
Average rating
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Design Applications
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Data Preparation
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Application Development
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Assembling and Deploying Applications
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Governance
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Evaluation and Monitoring
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Exam at a Glance

Databricks Certified Generative AI Engineer Associate Exam Overview

Key facts about the Databricks Certified Generative AI Engineer Associate exam structure, format and scoring.

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databricks-genai-engineer-associate
Exam code
๐Ÿ“
45 questions
Total questions
โฑ
90 minutes
Duration
๐ŸŽฏ
Pass/Fail (passing percentage not published)
Passing score
๐Ÿ“‹
6 domains
Exam domains
๐Ÿ†
Certification
Credential type
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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 Generative AI Engineer Associate exam?

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

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Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Design Applications (14%)
Translating requirements into prompts, chains, tools and agent designs.
🏗
Data Preparation (14%)
Preparing, chunking and storing source content for retrieval.
⚡
Application Development (30%)
Building, guarding and selecting models and components for LLM apps.
💰
Assembling and Deploying Applications (22%)
Packaging, registering, serving and integrating LLM applications.
🔄
Governance (8%)
Applying guardrails, masking and legal checks to GenAI data and apps.
📊
Evaluation and Monitoring (12%)
Measuring quality, cost and behaviour of deployed LLM apps.
Full Syllabus

Databricks Certified Generative AI Engineer Associate Exam Syllabus and Topics

The Databricks Certified Generative AI Engineer Associate exam is divided into 6 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

Prompt and Chain Design
Prompts that enforce a response format
Selecting model tasks for business needs
Choosing chain components for inputs and outputs
Mapping business goals to pipeline inputs and outputs
Agentic Design
Defining and ordering tools for multi-stage reasoning
When to use Agent Bricks (Knowledge Assistant, Multi-Agent Supervisor)
Agent Bricks Information Extraction
Translating requirements into agent tool calls
~6 questions
14 marks
14% of exam weight
Chunking and Extraction
Chunking by document structure and model limits
Filtering extraneous content
Python packages for document extraction
Advanced chunking strategies
Retrieval Readiness
Writing chunks to Unity Catalog Delta tables
Selecting source documents for quality
Retrieval evaluation metrics
Role of re-ranking
~6 questions
14 marks
14% of exam weight
Prompting and Guardrails
Augmenting prompts with retrieved context
Shaping output with prompt design
Implementing LLM guardrails
Qualitative assessment of response quality and safety
Model Selection
Selecting an LLM for application attributes
Embedding model context length
Using model cards and hubs
Choosing models from experiment metrics
Agent Frameworks
LangChain and similar frameworks
MLflow and Mosaic AI Agent Framework
Multi-agent systems using Genie spaces
Evaluation vs. monitoring phases
~14 questions
30 marks
30% of exam weight
Packaging and Registration
pyfunc chains with pre- and post-processing
Model signatures and input examples
Registering models to Unity Catalog with MLflow
Prompt version control
Serving and Retrieval
Model Serving endpoints and resource access
Foundation Model APIs
Creating and querying Mosaic AI Vector Search indexes
Batch inference with ai_query()
Integration and CI/CD
Managed, external and custom MCP servers
Persistent memory datastores
CI/CD for indexes, prompts and components
User interfaces via Databricks Apps, Slack or Teams
~10 questions
22 marks
22% of exam weight
Guardrails
Masking as a guardrail
Guardrails against malicious user inputs
Prompt injection risks
Filtering unsafe outputs
Data and Legal Governance
Licensing requirements of data sources
Legal requirements for source data
Alternatives for problematic source text
Unity Catalog governance of GenAI assets
~4 questions
8 marks
8% of exam weight
Evaluation
MLflow evaluation with scorers and tracing
Custom Scorers for agents and LLMs
Judges that require ground truth
Incorporating SME feedback
Monitoring
Inference tables and Agent Monitoring
AI Gateway usage tracking and rate limits
Key metrics for deployments
Controlling LLM costs
~5 questions
12 marks
12% of exam weight
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Study Plan

Databricks Certified Generative AI Engineer 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 โ†’

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 Generative AI Engineer Associate on your first attempt

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

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Application Development (30%) and Assembling and Deploying Applications (22%) dominate - build and serve a pyfunc RAG chain registered in Unity Catalog.
🔍
Practise Mosaic AI Vector Search index creation and know how chunk size and overlap change embedding counts, latency and cost.
⏭
Know MLflow evaluation in detail: scorers, tracing, which judges need ground truth, and inference tables.
📊
Study the agent topics in the current guide: Agent Bricks, MCP servers and Genie spaces in multi-agent systems.
🔁
Some items are multiple-selection, so read each stem for how many answers are required.
Recommended Resources

Databricks Certified Generative AI Engineer 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.
Practice Tests
Databricks Certified Generative AI Engineer Associate Practice Test
Practice questions with explanations and domain-level performance analysis.
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Mock Exam
Databricks Certified Generative AI Engineer Associate Mock Exam
Timed preparation under realistic exam-style conditions.
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Training
Databricks Certified Generative AI Engineer Associate Certification Training
Structured preparation with personalised learning support and adaptive practice.
โ†’ Databricks Certified Generative AI Engineer Associate certification online training
AI Tutor
Databricks Certified Generative AI Engineer Associate AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
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Reference
Databricks Certified Generative AI Engineer Associate Cheat Sheet
Quick-reference summaries for final revision.
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Diagnostic
Databricks Certified Generative AI Engineer Associate Readiness Test
Assess your preparation and identify weaker exam domains.
โ†’ Check my readiness
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Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.
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FAQ

Frequently asked questions about Databricks Certified Generative AI Engineer Associate

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.
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.
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.
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.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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