Databricks Certified Generative AI Engineer Associate — Udemy (4)

About this course

Prepare to pass the Databricks Certified Generative AI Engineer Associate exam with confidence using this comprehensive set of full-length practice tests, built to mirror the real exam's format, difficulty, and objectives.

This certification validates your ability to design and implement LLM-enabled solutions on Databricks — including RAG applications, LLM chains, and agentic systems that use Vector Search, Model Serving, MLflow, and Unity Catalog. This practice test course is structured around all six official exam domains:

• Design Applications — prompt design, chain components, Agent Bricks, multi-stage reasoning
• Data Preparation — chunking strategies, document filtering, Delta Lake ingestion, retrieval evaluation
• Application Development — LangChain integration, embedding model selection, guardrails, MLflow Agent Framework

Assembling & Deploying Applications — pyfunc chains, Vector Search indexes, Unity Catalog registration, MCP server integration, CI/CDGovernance — masking, guardrails against malicious inputs, licensing and legal risk

Evaluation & Monitoring — LLM selection metrics, MLflow scoring and tracing, AI Gateway, custom scorers, SME feedback

Each practice test includes realistic scenario-based multiple-choice and multiple-select questions with detailed explanations for every answer, so you understand not just what the right answer is, but why. Questions are modeled closely on the official Databricks exam guide and sample questions, covering real-world scenarios like configuring vector search for latency-sensitive applications, choosing embedding models based on context length, and integrating managed and custom MCP servers.

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