Practice
Learn at your own pace. Answer questions one at a time with instant feedback and explanations.
Start practiceAWS Certified Generative AI Developer - Professional
Professional AWS certification for building and deploying production-ready generative AI solutions using AWS services.
Mock exam
Simulate the real thing. Take a timed, full-length test and review your score and weak areas.
Sign up to startStudy your way: beyond Practice and Mock exam, choose adaptive, hard mode, ready review, objective coverage, or retry-your-misses — and set your own question count, timer, and pass mark.
About this exam
Validates production generative AI development on AWS, including foundation model integration, agents, safety, operations, evaluation, and troubleshooting.
Who should take this exam
Developers with cloud, AI/ML, or data engineering experience who build production generative AI applications on AWS.
Career benefits
Demonstrates advanced ability to deliver governed, production-grade generative AI solutions on AWS.
How to prepare
Use the official AWS exam guide, AWS Skill Builder, Amazon Bedrock documentation, and hands-on implementation practice.
Quick facts
Exam cost$300 USD
Valid for3 years
Length180 minutes
Questions on exam75
Passing score750 / 1000
FormatMultiple choice and multiple response
Practice questions125
Objectives5
Official pageView
What's covered
1. Foundation Model Integration, Data Management, and Compliance
31%- 1.1 Analyze requirements and design GenAI solutions
- 1.2 Select and configure foundation models
- 1.3 Implement data validation and processing pipelines for foundation model consumption
- 1.4 Design and implement vector store solutions
- 1.5 Design retrieval mechanisms for foundation model augmentation
- 1.6 Implement prompt engineering strategies and governance for foundation model interactions
2. Implementation and Integration
26%- 2.1 Implement agentic AI solutions and tool integrations
- 2.2 Implement model deployment strategies
- 2.3 Design and implement enterprise integration architectures
- 2.4 Implement foundation model API integrations
- 2.5 Implement application integration patterns and development tools
3. AI Safety, Security, and Governance
20%- 3.1 Implement input and output safety controls
- 3.2 Implement data security and privacy controls
- 3.3 Implement AI governance and compliance mechanisms
- 3.4 Implement responsible AI principles
4. Operational Efficiency and Optimization for GenAI Applications
12%- 4.1 Implement cost optimization and resource efficiency strategies
- 4.2 Optimize application performance
- 4.3 Implement monitoring systems for GenAI applications
5. Testing, Validation, and Troubleshooting
11%- 5.1 Implement evaluation systems for GenAI
- 5.2 Troubleshoot GenAI applications
Frequently asked questions
Are these real exam questions?
No. These are original practice questions written to match the exam objectives, each with an explanation so you actually learn the material — not exam dumps.
How does practice mode work?
You answer questions one at a time with instant feedback and explanations. Over time the app adapts, prioritizing the objectives and questions you struggle with most.
What is a mock exam?
A timed, full-length simulation that holds feedback until the end, then shows your score, pass/fail result, and a breakdown by objective.
Can I customize how I study?
Yes. Pick the study mode that fits — adaptive practice, hard mode, ready-for-review, objective coverage, or retrying questions you've missed — and set your own question count, timer, and passing score for each session.
Do I need an account?
You can try free questions for this exam without signing in. Create a free account to save your progress, track weak objectives, and unlock the full question bank.