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Databricks Certified Generative AI Engineer Associate Hands-On Exam Prep: Build a Real RAG + Agent System with the PawShield Case Study

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Description

Written to the March 2026 Databricks exam guide. Most study guides walk the exam blueprint end to end, checking off features and terms as they go. You can prepare from a book like that — but you won't build anything. And the exam itself is a test of judgment: given a real business situation, which Databricks feature fits, and why is the second-most-obvious choice wrong? This book takes the other route. It follows a fictitious pet-insurance company, PawShield, through every layer of a production GenAI system: RAG retrieval, agent reasoning, batch extraction with ai_query, MLflow GenAI evaluation, AI Gateway governance, and production monitoring. You build two systems on the same Databricks primitives the exam tests on: PolicyPal, a RAG chatbot grounded in PawShield's policy library, and ClaimClerk, an agent that triages and extracts from inbound customer emails. A single claim — Sarah Chen's — runs the length of the book, from first retrieval to the live dashboard, so every feature lands inside a decision someone actually has to make. Over 500 practice questions — 400+ chapter quizzes plus two full-length mock exams 12 runnable Databricks chapter notebooks The complete dataset (policy PDFs, claim emails, vet invoices, support transcripts, and seven seed tables), bundled with the companion GitHub repo Every blueprint objective covered by something you've built, run, evaluated, and watched in production

Product Specifications

Format: paperback
ASIN: 1918744041
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning > Generative AI
Domain: Amazon UK
Release Date: 07 June 2026
Listed Since: 08 June 2026

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Databricks Certified Generative AI Engineer Associate Hands-On Exam Prep: Build a Real RAG + Agent System with the PawShield Case Study

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