Databricks Generative AI Engineer Associate Practice Exams

About this course

Pass the Databricks Certified Generative AI Engineer Associate exam on your first attempt.

There is a gap between understanding how large language models work and shipping one into production on a specific platform. This exam lives entirely on the far side of it. Reading about transformers will not carry you through, because the majority of the questions are about building and deploying on Databricks — chains, retrieval pipelines, vector search, model serving, and the infrastructure that holds them together. Candidates who arrive fluent in general LLM APIs but unfamiliar with Unity Catalog, MLflow and Mosaic AI consistently underestimate it.

The exam was also updated, and the current version tests material that older study resources simply do not contain: prompt versioning and lifecycle management, agent evaluation using model-based judges, and inference tables for production monitoring. If your preparation predates that update, you are studying a section structure that no longer matches the exam.

What you get

Full-length practice tests that mirror the structure, difficulty and pacing of the live examA detailed explanation on every single question — every option addressed individually, because the wrong answers here are usually approaches that work in a notebook and fail in production

Blueprint-weighted coverage of all six domains: designing applications, data preparation, application development, assembling and deploying applications, governance, and evaluation and monitoring

Heaviest weighting on application development and deployment, matching the exam's own emphasis

Current exam content, including prompt lifecycle management, agent evaluation and inference monitoring

Scenario-based questions carrying real constraints — retrieval quality, latency, cost per token, acce

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