Practice Exams: Databricks Generative AI Engineer Associate

About this course

If you looking for practice tests for Databricks Generative AI Engineer Associate certification exam, you have come to the right place! Two practice tests with detailed explanations are available to prepare you before taking the actual exam

There are 56 multiple-choice questions on each practice exam. The questions will be distributed by high-level topic in the following way:1. Design Applications

Design prompts, AI pipelines, and tool workflows that meet business requirements.

Select appropriate models, chain components, and Agent Bricks for specific use cases.

Build multi-stage reasoning systems using tools and structured AI workflows.2. Data Preparation

Prepare high-quality RAG data through chunking, filtering, and document extraction.

Store, organize, and retrieve knowledge using Delta Lake and Unity Catalog.

Evaluate and optimize retrieval with advanced chunking, re-ranking, and retrieval metrics.3. Application Development

Build GenAI applications using LangChain, MLflow, and Agent Framework.

Optimize prompts, models, embeddings, and guardrails for quality, safety, and performance.

Develop, evaluate, and monitor agentic and multi-agent systems.4. Assembling & Deploying Applications

Build, register, and deploy RAG and LLM applications with MLflow and Vector Search.

Configure serving, storage, security, CI/CD, prompt lifecycle, and MCP integrations.

Develop user-facing interfaces and optimize deployment for performance, cost, and scalability.5. Evaluation & Monitoring

Evaluate LLMs and agents using metrics, MLflow, custom scorers, and ground truth.

Monitor deployments with inference logging,

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