In addition to the exam specific domains, this question bank of 300 + 150 harder & new questions will cover the following knowledge areas:1. Amazon Bedrock Fundamentals2. Foundation Model Selection3. Prompt Engineering4. RAG & Knowledge Bases5. Embeddings & Vector Stores6. Model Customization & Fine-Tuning7. Bedrock Agents & Tool Use8. Responsible AI & Guardrails9. SageMaker for Generative AI10. Security, Cost & OperationsDistribution across the 6 practice tests: each test (75 questions) draws a balanced 7–8 questions per domain. Good luck with your exam. I will be publishing a course on all relevant topics in the next few months.Here are the exam domains these set of practice tests will cover:Domain 1: FM Integration, Data & Compliance (31%). Knowledge Bases sync behavior, vector store scale patterns (pgvector vs OpenSearch Service), and prompt engineering techniques.Domain 2: Implementation & Integration (26%). Bedrock Agents vs AgentCore vs Step Functions, Converse API vs InvokeModel, Return of Control, and streaming architectures.Domain 3: AI Safety, Security & Governance (20%). Guardrails mechanics, IAM access control patterns for Bedrock, VPC endpoint vs NAT gateway, Q Business vs Knowledge Bases.Domains 4 & 5: Optimisation & Testing (23%). Cost traps (Provisioned vs On-demand), evaluation metrics (ROUGE/BLEU/BERTScore), and throttling recovery patterns.The final exam tests your practical knowledge across these core areas: Foundation Models (FMs): Selecting, customizi
What you'll learn
understand Amazon Bedrock fundamentals
implement prompt engineering techniques
navigate AI governance and security
evaluate and optimize generative AI models
Course objectives
to prepare students for the AWS Certified Generative AI Developer Professional exam
to enhance knowledge in generative AI technology and practices