Mayank Malhotra
Senior Data Engineer
2 ratings and 4 bookings across all services
🎯 Are you preparing for the Databricks Certified Generative AI Engineer Associate Exam?
Most candidates struggle not because they don't understand AI concepts, but because Databricks exam questions test real-world architectural trade-offs:
• Vector search sync modes (Triggered vs. Continuous)
• AI Gateway rate limits & cost governance
• MLflow LLM evaluation metrics (Faithfulness vs. Groundedness)
• Unity Catalog credential delegation & tool authentication
This 28-page comprehensive practice exam guide gives you the exact scenario-based practice you need to pass on your very first try.
📦 WHAT YOU GET INSIDE:
📊 100% EXAM DOMAIN ALIGNMENT:
🔹 Domain 1: Data Preparation & Vector Search (22% | 11 Questions) Markdown-aware chunking, Delta Sync pipelines, Direct Vector Access, managed embeddings, and hybrid search.
🔹 Domain 2: Model Selection & Fine-Tuning (18% | 9 Questions) Pay-per-token vs. Provisioned Throughput, external models via AI Gateway, open-weights governance, and LoRA/PEFT.
🔹 Domain 3: Compound AI Systems & RAG Architecture (28% | 14 Questions) Multi-turn chat persistence (LangGraph checkpointers), Cross-encoder re-ranking, Multi-Agent Supervisor patterns, and UC functions as agent tools.
🔹 Domain 4: Evaluation, Monitoring & Governance (20% | 10 Questions) Mosaic AI Agent Evaluation, faithfulness metrics, custom MLflow scorers, Review App curation, and Inference Table guardrail logging.
🔹 Domain 5: Deployment & Production Operations (12% | 6 Questions) Unity Catalog model registration, ephemeral credential delegation, FinOps cost allocation via System Tables, and canary traffic splitting.
🛡️ WHY THIS GUIDE IS DIFFERENT:
✅ Teaches the "Why": Understand the architectural reasoning behind every option so you can solve any variant question on exam day.
✅ Zero Spoilers: Questions are in Part 1, Answer Key in Part 2, and Rationales in Part 3—allowing you to simulate a real timed exam.
✅ 100% Original Scenarios: Authored via clean-room methodology grounded in official Databricks documentation.
👉 Click "Instant Download" to get the 28-page PDF and start practicing right away!