How hard is the Databricks Generative AI Engineer Associate exam? +
It's an Associate exam, but it's implementation-heavy. Application Development (30%) and Assembling and Deploying Apps (22%) are over half the exam and cover pyfunc models, signatures, Unity Catalog registration and Model Serving endpoints. Evaluation questions get specific about MLflow scorers and tracing. Candidates who understand RAG conceptually but have only built notebook prototypes find the Databricks-specific deployment and evaluation questions hardest.
How many questions are on the exam and how long is it? +
There are 45 scored multiple-choice questions in 90 minutes, and the exam may include extra unscored items. It's proctored online or at a test center, and no test aids are allowed. The domains are Application Development 30%, Assembling and Deploying Apps 22%, Design Applications 14%, Data Preparation 14%, Evaluation and Monitoring 12% and Governance 8%.
What has changed in the current exam guide? +
The guide has moved well beyond RAG. It now covers agents and multi-agent systems, including Agent Bricks (Knowledge Assistant and Multiagent Supervisor), managed and custom MCP servers and Genie spaces. Evaluation centers on MLflow, such as mlflow.genai.evaluate, custom scorers and tracing. Older prep material built around basic RAG chains misses a growing share of the exam.
How much does the exam cost and what experience is recommended? +
The registration fee is $200. There are no formal prerequisites, but Databricks recommends at least six months of hands-on experience with the generative AI tasks in the exam guide. The certification is valid for two years, after which you recertify by passing the current version of the exam. Databricks does not list a passing percentage on the exam page.
How should I prepare for chunking and Vector Search questions? +
Expect questions on how chunk size and overlap affect the number of embeddings, retrieval quality and cost, and how Vector Search index configuration trades latency against accuracy. Read the constraints in each scenario carefully - the right answer is often the option that meets the stated latency or budget requirement, not the most accurate one. Building a small retrieval pipeline yourself is the fastest way to internalize these trade-offs.
What happens if I fail the Generative AI Engineer Associate? +
You must wait 14 days before retaking, and every attempt costs the full exam fee - Databricks does not offer free retakes. You can retake as many times as needed as long as you respect the 14-day gap. Use the section-level feedback from your result to focus your next round on the weakest domains rather than restarting from scratch.