Databricks · DB-GAIE · Associate
Databricks Generative AI Engineer Associate — Practice Questions and Mock Exam
Practice real DB-GAIE questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.
Checked against Databricks · April 2026Current exam version
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.
Building GenAI tools and application chains, prompt augmentation, implementing guardrails, model selection, and using frameworks like LangChain on Databricks.
Model deployment, Unity Catalog registration, Vector Search configuration, end-to-end RAG pipeline setup, and serving endpoint management.
Prompt engineering, pipeline design, model and component selection, and aligning technical solutions to business requirements.
Chunking strategies for documents, filtering and extracting content, document structure handling, and using Python packages for data extraction.
Model evaluation techniques, selecting appropriate metrics, inference logging and monitoring, and Databricks evaluation features.
Data and application security, implementing guardrails, data masking, legal and licensing considerations, and Unity Catalog governance for AI.
SourceDatabricks exam page
Format
What to expect
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.
SourceDatabricks exam page
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