Databricks Certified Generative AI Engineer Associate

Assesses an individual's ability to design and implement LLM-enabled solutions using Databricks. Covers problem decomposition, model and tool selection, and building comprehensive generative AI solutions. Evaluates Databricks-specific tooling including Vector Search for semantic similarity, Model Serving for deployment, MLflow for solution lifecycle management, and Unity Catalog for data governance. Candidates who pass can build and deploy performant RAG applications and LLM chains on Databricks. All machine learning code in this exam is in Python.

Sample Questions