AWS Generative AI Developer Pro (AIP-C01) Exam Questions 2025
SkillCertPro Offerings (Instructor Note) :
- We are offering 700 latest real AWS Generative AI Developer Pro (AIP-C01) Exam Questions for practice, which will help you to score higher in your exam.
- Aim for above 85% or above in our mock exams before giving the main exam.Â
- Do review wrong & right answers and thoroughly go through the explanations provided to each question which will help you understand the question.
- Master Cheat Sheet was prepared by instructors which contain personal notes of them for all exam objectives. Carefully written to help you all understand the topics easily.
- It is recommended to use the Master Cheat Sheet just before 2-3 days of the main exam to cram the important notes.
- Weekly updates: We have a dedicated team updating our question bank on a regular basis, based on the feedback of students on what appeared on the actual exam, as well as through external benchmarking.
AWS Certified Generative AI Developer – Professional showcases advanced technical expertise in building and deploying production-ready AI solutions using AWS Services like Bedrock. Perfect for developers with 2+ years of cloud experience looking to advance their careers. For organizations investing in AI initiatives, this certification provides a reliable way to identify and verify developers who can move beyond proofs-of-concept to build production-grade generative AI solutions that deliver tangible business results while maintaining security and cost efficiency.
Exam Overview
Beta exam runs 205 minutes with 85 multiple-choice and multiple-response questions, costing $150 USD—half the standard rate. Available in English and Japanese via Pearson VUE centers or online proctoring, it uses scaled scoring (100-1000 range, 750 minimum to pass). Early adopters (first 5,000 passers) earn a special badge.
Key Domains
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Domain 1: Foundation Model Integration (31%) – Covers architecture design, data pipelines, RAG systems, vector databases, prompt engineering, and compliance.
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Domain 2: Implementation and Integration (26%) – Focuses on deploying agents, tool calling, workflows with Bedrock, SageMaker, Lambda, and hybrid inferencing.
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Domain 3: AI Safety and Governance (20%) – Emphasizes security, ethical practices, IAM, and monitoring for responsible AI.
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Domain 4: Operational Efficiency (12%) – Addresses cost optimization, throughput, latency, and scalability.
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Domain 5: Testing and Troubleshooting (11%) – Includes model evaluation, A/B testing, accuracy metrics, and debugging.
Preparation Tips
Review AWS services like Bedrock, SageMaker, S3, and vector stores; practice with Skill Builder’s Exam Prep Plan, labs, and official practice questions. No prerequisites required, but foundational AWS knowledge in compute, storage, security, and IaC strengthens readiness for GenAI topics like foundation models and RAG.
Checkout our other AWS courses: Skillcertpro AWS Certifications
Know more about official exam here : https://aws.amazon.com/certification/certified-generative-ai-developer-professional/
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