AWS AI Practitioner Prep PRO

150 QUESTIONS, EVERY OPTION EXPLAINED Each question explains why the right answer is right and why each wrong answer is wrong - 610 written explanations in total. On an exam where three options look plausible, understanding why the near-miss fails is most of the skill. CURRENT WITH THE APRIL 2026 UPDATE Agentic AI: multi-agent patterns, Model Context Protocol, memory, tool use, orchestration Token-based pricing, and how prompt size drives cost and latency together Context engineering, as distinct from prompt engineering Model distillation in the customisation cost ladder Amazon Bedrock Prompt Management and prompt versioning Hallucination detection: RAG grounding, output validation, confidence scoring Business alignment metrics: task completion rate, user satisfaction, cost per interaction Services added to scope: Bedrock AgentCore, Kiro, Strands Agents, Amazon Q, SageMaker JumpStart,…