AWS Certified Generative AI Developer β Professional: what AIP-C01 tests and how to prepare
AWS's AIP-C01 exam is a 180-minute proctored Professional certification with 65 scored questions across Bedrock RAG, agents, Guardrails, cost optimization, and GenAI governance. Exam guide, domain breakdown, scenarios, pricingβand explainx.ai mock tests and study pathway.
AWS's Certified Generative AI Developer β Professional (AIP-C01) is the vendor's bid to standardize production-grade GenAI integration on AWS β not model training research, but the practical work of shipping Bedrock-powered apps with RAG, agents, guardrails, and cost controls.
AWS positions the target candidate as someone with 2+ years building production-grade applications on AWS (or equivalent open-source experience), plus 1 year hands-on implementing GenAI solutions.
You should be comfortable with:
AWS compute, storage, and networking
IAM, VPC security, and cost optimization fundamentals
Integrating Amazon Bedrock, Knowledge Bases, Guardrails, and orchestration services
Explicitly out of scope: model training from scratch, advanced ML research, and data engineering unrelated to FM consumption.
Exam format (at a glance)
Attribute
Detail
Duration
180 minutes
Questions
75 total β 65 scored + 10 unscored (unscored items are not identified on the exam)
Format
Multiple choice and multiple response (select all correct answers)
Proctoring
Pearson VUE testing center or online proctored
Pass score
750 / 1000 scaled (compensatory β pass overall, not per domain)
Pricing
$300 USD per attempt
Languages
English, Japanese, Korean, Simplified Chinese
What you are tested on: five competency areas
Area
Weight
What it emphasizes
Foundation Model Integration, Data Management, and Compliance
31%
FM selection, RAG/vector stores, Knowledge Bases, chunking, embeddings, prompt governance
Token efficiency, caching, model routing, CloudWatch observability
Testing, Validation, and Troubleshooting
11%
Model evaluation, RAG quality testing, agent performance, GenAI-specific debugging
Domain 1 alone is nearly a third of the exam β RAG architecture and data pipelines deserve the most study time, followed by agents and enterprise integration.
Production scenarios (six frames for practice)
explainx practice questions are scenario-framed around realistic AWS GenAI workloads:
AWS Certified Generative AI Developer - Professional β Mock Tests
3 timed mock exams with shuffled questions, instant scoring, and per-question explanations. Pass score: 720/1000. The fastest way to find your weak domains before exam day.
Certification study guide β β domain weights, task statements per competency area, six scenario narratives, in-scope / out-of-scope topics, and AWS service checklist mapped to the official Exam Guide.
Learning pathway β β 18 articles mapped to exam domains with embedded quiz questions.
AWS Certified Generative AI Developer β Professional validates that you can move beyond POC to production GenAI on AWS β RAG, agents, security, cost, and evaluation. Start from the official Exam Guide and Skill Builder prep plan, follow the explainx pathway, and run mock tests for timed MCQ practice before your Pearson VUE sitting.
Practice exam
AWS Certified Generative AI Developer - Professional β Mock Tests
3 timed mock exams with shuffled questions, instant scoring, and per-question explanations. Pass score: 720/1000. The fastest way to find your weak domains before exam day.
Exam names, weights, and policies are summarized from AWS's public certification messaging; verify on AWS before registering. explainx.ai is not affiliated with AWS's certification program.