Databricks Certified Generative AI Engineer Associate 2026

The Databricks Certified Generative AI Engineer Associate certification validates foundational skills for developing and deploying generative AI applications using Databricks technologies. The certification focuses on practical knowledge of large language models, Retrieval-Augmented Generation (RAG), vector search, model serving, prompt engineering, evaluation, and responsible AI practices. This course is designed to help candidates prepare through realistic, scenario-based practice rather than simple memorization.

This course provides full-length practice tests covering the major knowledge areas you should understand when preparing for the Databricks Certified Generative AI Engineer Associate exam.

Practice questions focus on:

• Generative AI & LLM Fundamentals - foundation models, large language models, prompt engineering, model capabilities, inference, embeddings, tokens, and selecting appropriate approaches for different GenAI use cases

• Retrieval-Augmented Generation (RAG) - document processing, chunking, embeddings, retrieval, vector databases, context construction, response generation, and techniques for improving RAG application quality

• Databricks GenAI Tools & Technologies - Databricks Vector Search, Model Serving, MLflow, external models, foundation models, and selecting appropriate Databricks capabilities for production applications

• Application Development & Evaluation - building GenAI applications, prompt optimization, evaluating responses, monitoring performance, improving application quality, and troubleshooting common issues

• Governance & Responsible AI - security, privacy, access control, data governance, responsible AI, monitoring, and production considerations for enterprise generative AI applications

Each practice question includes a detailed explanation of the correct answer to help you understand the reasoning behind the solution. Explanations are designed to help you recognize important requirements in scenario-based questions, compare different technical approaches, and understand why one option is more appropriate than the alternatives.

The practice tests also help you identify knowledge gaps before exam day. By completing multiple practice exams and reviewing the explanations, you can reinforce important Databricks terminology, strengthen your understanding of RAG and LLM application development, and focus your study efforts on topics that need additional review.

By the end of this course, you will have practiced across the key areas associated with the Databricks Certified Generative AI Engineer Associate certification and developed greater confidence in analyzing real-world GenAI scenarios involving RAG, LLMs, vector search, model serving, prompt engineering, evaluation, and AI governance-