[100% Off] Aws Generative Ai Developer Aip-C01 Practice Test
Six blueprint-weighted practice exams with a written explanation for every answer option — model integration etc
What you’ll learn
- Choose a vector store and chunking strategy per corpus.,Design RAG retrieval with hybrid search and reranking.,Version and test prompts before they reach production.,Build agents with memory
- tools and stopping conditions.,Deploy models with the right capacity and pricing model.,Enforce guardrails
- privacy and prompt-injection defence.,Evaluate quality with judges
- goldens and quality gates.,Control token cost
- latency and drift in production.
Requirements
- Recommended: about one year of hands-on GenAI work.,Two years building on AWS or open-source stacks helps.,No exam prerequisite
- and no AWS account is needed here.,Comfort with APIs
- JSON and serverless patterns helps.,Familiarity with S3
- IAM and VPC concepts is assumed.,Willingness to read every explanation
- including rejections.
Description
This course is 450 original questions for the AWS Certified Generative AI Developer – Professional (AIP-C01) exam, arranged as six 75-item mock exams. Every exam follows the published domain weights — 31% foundation model integration, 26% implementation and integration, 20% AI safety and governance, 12% operational efficiency, and 11% testing and troubleshooting — and every item is followed by an explanation for each option, so a wrong answer tells you which decision was wrong rather than only that it was wrong.
The questions are written the way the exam is written: a production requirement, a constraint, and a choice. A support assistant answers from last quarter’s policy because nobody re-indexed the corpus. A prompt that worked in the demo returns prose where the mobile app expects JSON. An agent loops between two tools until the request times out. A judge model is grading answers and a compliance team wants proof that it agrees with experts. You are asked what to build, configure or measure and why, not which screen holds the setting.
WHAT MAKES THIS DIFFERENT
• Real paper length, not an expanded bank: 75 items in 180 minutes, the published form, so each set runs at about 144 seconds per item — the live pace rather than a slowed-down rehearsal.
• Blueprint-weighted, not topic-sampled: every exam allocates 23 / 20 / 15 / 9 / 8 items to the five published domains, each count within half an item of its published weight.
• Explanations for all options: correct options explain why they win, and distractors explain what requirement they would fail.
• Original items only, written for this course. No recalled exam content and no question-bank copies.
• No invented pass mark: AWS publishes a minimum passing score of 750 on a 100–1000 scale, and that scaled score is stated as published — a practice percentage is never converted into it.
• No case studies: the published format has none, so none are imitated.
• Integration depth, not model training: the guide keeps model development, advanced ML techniques, and data and feature engineering out of scope, so items test the engineering decision in front of you.
WHAT YOU GET
• Six full-length practice exams of 75 questions each, 60 multiple-choice and 15 multiple-response per exam.
• An explanation for every option, plus a rationale, the mapped domain, a local study skill and a primary reference on every question.
• A blueprint that matches the published domain weights on all six exams.
• A 45-skill study map across the five domains, covering Amazon Bedrock, knowledge bases, agents, guardrails, evaluation, observability and the integration and security services the guide names.
• Study plan, six-week schedule, 180-minute time budget, scoring method and quick-reference guidance.
EXAM FACTS THIS COURSE IS BUILT AROUND
Verified against the AWS certification page and the AIP-C01 exam guide in October 2026: 180 minutes, 300 USD, 75 questions of which 65 are scored and 10 are unscored (AWS does not identify the unscored items), multiple choice and multiple response, delivered by Pearson VUE at a test centre or through online proctoring, offered in English, Japanese, Korean and Simplified Chinese, a scaled score of 100–1000 with a minimum passing score of 750 under compensatory scoring, and three-year validity. AWS recommends two or more years building production applications plus one year of hands-on generative AI work.
