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Databricks · DB-GAIE · Associate

Databricks Certified Generative AI Engineer Associate

Validates skills in building generative AI applications on Databricks including RAG pipelines, prompt engineering, model deployment, and evaluation. 45+ AI-generated practice questions with explanations. Free trial, pass guarantee.

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45 Questions
90min Time Limit
70/ 100 Pass Score
$200 Exam Fee

Overview

About the exam

The Databricks Certified Generative AI Engineer Associate exam tests your ability to design, build, and deploy GenAI applications on the Databricks platform. It covers the full lifecycle from data preparation and chunking through RAG pipeline assembly, prompt engineering, model deployment with serving endpoints, and evaluation with Databricks tools. The largest focus is on hands-on application development.

Exam Domains

What's on the exam

The exam consists of 45 scored multiple-choice questions to be completed in 90 minutes. No test aids are allowed. Unscored pilot questions may appear. Available online or at a test center. Databricks does not publish an official passing score. The displayed score is a conservative estimate based on industry standards.

Application Development 30%

Building GenAI tools and application chains, prompt augmentation, implementing guardrails, model selection, and using frameworks like LangChain on Databricks.

Assembling and Deploying Applications 22%

Model deployment, Unity Catalog registration, Vector Search configuration, end-to-end RAG pipeline setup, and serving endpoint management.

Design Applications 14%

Prompt engineering, pipeline design, model and component selection, and aligning technical solutions to business requirements.

Data Preparation 14%

Chunking strategies for documents, filtering and extracting content, document structure handling, and using Python packages for data extraction.

Evaluation and Monitoring 12%

Model evaluation techniques, selecting appropriate metrics, inference logging and monitoring, and Databricks evaluation features.

Governance 8%

Data and application security, implementing guardrails, data masking, legal and licensing considerations, and Unity Catalog governance for AI.

Format

What to expect

multiple choice
100%

Watch out

Where candidates struggle

This exam combines GenAI fundamentals with Databricks-specific tooling. Know Vector Search configuration inside out, understand chunking strategies and their trade-offs, and be comfortable with LangChain integration on Databricks. Evaluation questions require knowing which metrics apply to which GenAI use cases. Do not overlook the Governance section, as questions about guardrails and data masking are specific and detailed.

Details

Exam logistics

Registration fee is $200 USD. Available in English, Japanese, Portuguese (BR), and Korean. No prerequisites required. 6+ months GenAI development experience recommended. Certification is valid for 2 years.

Delivery Online proctored or test center
Retake policy No mandatory waiting period. Retake fee applies.
Validity 2 years
Career outcomes GenAI Engineer, AI Application Developer, LLM Engineer, RAG Pipeline Developer
Renewal Recertification required every 2 years by taking the current exam version.
Study time ~80 hours
Official guide View on vendor site

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