Exams / AIP-C01
Free AWS Certified Generative AI Developer – Professional (AIP-C01) practice exam
Take the full 75-question practice exam free, with no sign-up and no email. The questions are written like the real exam: short scenarios where you pick the best answer. Every question is original and explains why each option is right or wrong.
- Real exam
- 75 questions
- Time
- 180 minutes
- Domains
- 5
- Free exam
- 75 questions, no sign-up
Last verified against current AWS documentation ·How we write our questions
New to AIP-C01? The study guide explains what each domain tests and how to pick between close answers, with notes on every topic.Read the study guide
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Free practice exam
More practice sets
All practice sets: 5 sets, 375 new questions
Fresh questions not in the free set, each with an explanation for every option. One payment of $14.99, no subscription, with access for at least 12 months. Includes the randomized test and topic practice across every set, and your answers are saved so you can track your weak areas.
- Practice set 175 questions
- Practice set 275 questions
- Practice set 375 questions
- Practice set 475 questions
- Practice set 575 questions
All AWS exams pass: $49.99
Every practice set for all 11 AWS exams: 3,790 questions. That's about 3 exams' price for all 11. Includes exams we add later. One payment, no subscription.
Randomized test
For practice set owners. A fresh mix every time, drawn from every set you own: 75 questions in 180 minutes, like the real exam.
By domain
Untimed practice on one domain, with the explanation after each question.
- Foundation Model Integration, Data Management, and Compliance31% exam guide weighting · 23 free questionsIn my sets: Foundation Model Integration, Data Management, and Compliance
- Implementation and Integration26% exam guide weighting · 20 free questionsIn my sets: Implementation and Integration
- AI Safety, Security, and Governance20% exam guide weighting · 15 free questionsIn my sets: AI Safety, Security, and Governance
- Operational Efficiency and Optimization for GenAI Applications12% exam guide weighting · 9 free questionsIn my sets: Operational Efficiency and Optimization for GenAI Applications
- Testing, Validation, and Troubleshooting11% exam guide weighting · 8 free questionsIn my sets: Testing, Validation, and Troubleshooting
By topic
Narrow it down to one topic. Counts are for the free set; the practice sets have more questions on every topic.
Foundation Model Integration, Data Management, and Compliance
- GenAI solution design, proofs of concept and the Well-Architected Generative AI Lens2 free GenAI solution design, proofs of concept and the Well-Architected Generative AI Lens questions to read
- Choosing foundation models for a use case1 free Choosing foundation models for a use case questions to read
- Switching models and providers without code changes (AppConfig, gateways, inference profiles)1 free Switching models and providers without code changes (AppConfig, gateways, inference profiles) questions to read
- Cross-Region inference and resilient model access1 free Cross-Region inference and resilient model access questions to read
- Fine-tuning, LoRA adapters and custom model lifecycle (Bedrock, SageMaker AI, Model Registry)1 free Fine-tuning, LoRA adapters and custom model lifecycle (Bedrock, SageMaker AI, Model Registry) questions to read
- Validating data quality before it reaches a model (Glue Data Quality, Lambda checks)2 free Validating data quality before it reaches a model (Glue Data Quality, Lambda checks) questions to read
- Processing images, audio, documents and tables for FMs (Bedrock Data Automation, Transcribe)1 free Processing images, audio, documents and tables for FMs (Bedrock Data Automation, Transcribe) questions to read
- Formatting and enriching input for model requests (Converse API, Comprehend, normalization)1 free Formatting and enriching input for model requests (Converse API, Comprehend, normalization) questions to read
- Choosing and scaling vector stores (OpenSearch, Aurora pgvector, S3 Vectors, managed knowledge bases)1 free Choosing and scaling vector stores (OpenSearch, Aurora pgvector, S3 Vectors, managed knowledge bases) questions to read
- Document metadata and filtering for precise retrieval1 free Document metadata and filtering for precise retrieval questions to read
- Connecting data sources and keeping vector stores current1 free Connecting data sources and keeping vector stores current questions to read
- Chunking strategies (fixed-size, hierarchical, semantic, custom Lambda)1 free Chunking strategies (fixed-size, hierarchical, semantic, custom Lambda) questions to read
- Choosing and generating embeddings (Titan, Cohere, Nova multimodal)1 free Choosing and generating embeddings (Titan, Cohere, Nova multimodal) questions to read
- Semantic, hybrid search and reranking1 free Semantic, hybrid search and reranking questions to read
- Query expansion, decomposition and rewriting1 free Query expansion, decomposition and rewriting questions to read
- Exposing retrieval to models as tools (function calling, MCP)1 free Exposing retrieval to models as tools (function calling, MCP) questions to read
- Prompt templates, versioning and governance (Bedrock Prompt Management)1 free Prompt templates, versioning and governance (Bedrock Prompt Management) questions to read
- Conversation memory and clarification flows1 free Conversation memory and clarification flows questions to read
- Testing prompts for regressions and edge cases1 free Testing prompts for regressions and edge cases questions to read
- Prompt engineering techniques (few-shot, chain-of-thought, structured output)1 free Prompt engineering techniques (few-shot, chain-of-thought, structured output) questions to read
- Prompt chains and flows (Amazon Bedrock Flows, Step Functions)1 free Prompt chains and flows (Amazon Bedrock Flows, Step Functions) questions to read
Implementation and Integration
- Building agents (Strands Agents, AgentCore Runtime, multi-agent patterns)2 free Building agents (Strands Agents, AgentCore Runtime, multi-agent patterns) questions to read
- Agent reasoning patterns (ReAct, planning, Step Functions orchestration)1 free Agent reasoning patterns (ReAct, planning, Step Functions orchestration) questions to read
- Agent safeguards (stopping conditions, timeouts, IAM boundaries, AgentCore Policy)1 free Agent safeguards (stopping conditions, timeouts, IAM boundaries, AgentCore Policy) questions to read
- Coordinating several models (specialists, ensembles, routing)1 free Coordinating several models (specialists, ensembles, routing) questions to read
- Human review and approval in AI workflows1 free Human review and approval in AI workflows questions to read
- Tool integration and MCP servers (Lambda, ECS, AgentCore Gateway)2 free Tool integration and MCP servers (Lambda, ECS, AgentCore Gateway) questions to read
- Choosing how to deploy models (on-demand, Provisioned Throughput, SageMaker AI endpoints)1 free Choosing how to deploy models (on-demand, Provisioned Throughput, SageMaker AI endpoints) questions to read
- Hosting LLMs on containers and GPUs (SageMaker AI, EKS, model loading)1 free Hosting LLMs on containers and GPUs (SageMaker AI, EKS, model loading) questions to read
- Model cascading and routing to the right model1 free Model cascading and routing to the right model questions to read
- Event-driven integration with enterprise systems (EventBridge, API Gateway, Lambda)1 free Event-driven integration with enterprise systems (EventBridge, API Gateway, Lambda) questions to read
- Secure access to models and data (federation, RBAC, least privilege)1 free Secure access to models and data (federation, RBAC, least privilege) questions to read
- Hybrid and edge GenAI for data residency (Outposts, Wavelength, Local Zones)1 free Hybrid and edge GenAI for data residency (Outposts, Wavelength, Local Zones) questions to read
- CI/CD and GenAI gateway architectures (CodePipeline, central gateway)1 free CI/CD and GenAI gateway architectures (CodePipeline, central gateway) questions to read
- Synchronous, asynchronous and batch model invocation1 free Synchronous, asynchronous and batch model invocation questions to read
- Streaming responses (ConverseStream, WebSockets, response streaming)1 free Streaming responses (ConverseStream, WebSockets, response streaming) questions to read
- Handling throttling, retries and fallbacks1 free Handling throttling, retries and fallbacks questions to read
- Building GenAI front ends and business integrations (Amplify, OpenAPI, Bedrock Data Automation)1 free Building GenAI front ends and business integrations (Amplify, OpenAPI, Bedrock Data Automation) questions to read
- Developer productivity and troubleshooting tools (Kiro, Amazon Q Developer, Logs Insights)1 free Developer productivity and troubleshooting tools (Kiro, Amazon Q Developer, Logs Insights) questions to read
AI Safety, Security, and Governance
- Filtering harmful input (Bedrock Guardrails content filters and denied topics)2 free Filtering harmful input (Bedrock Guardrails content filters and denied topics) questions to read
- Preventing harmful or unwanted output1 free Preventing harmful or unwanted output questions to read
- Reducing hallucinations (grounding, contextual grounding checks, Automated Reasoning, structured outputs)1 free Reducing hallucinations (grounding, contextual grounding checks, Automated Reasoning, structured outputs) questions to read
- Layered safety controls across the request path1 free Layered safety controls across the request path questions to read
- Prompt injection and jailbreak defense1 free Prompt injection and jailbreak defense questions to read
- Isolating GenAI workloads (VPC endpoints, IAM, Lake Formation)2 free Isolating GenAI workloads (VPC endpoints, IAM, Lake Formation) questions to read
- Protecting PII and sensitive data (Guardrails sensitive info filters, Macie, Comprehend)1 free Protecting PII and sensitive data (Guardrails sensitive info filters, Macie, Comprehend) questions to read
- AI governance frameworks (model cards, lineage, approval)1 free AI governance frameworks (model cards, lineage, approval) questions to read
- Audit logging and source traceability (invocation logging, CloudTrail, Data Catalog)1 free Audit logging and source traceability (invocation logging, CloudTrail, Data Catalog) questions to read
- Continuous monitoring for misuse, drift and policy violations1 free Continuous monitoring for misuse, drift and policy violations questions to read
- Transparency and explainability (citations, reasoning traces)1 free Transparency and explainability (citations, reasoning traces) questions to read
- Fairness and bias evaluation1 free Fairness and bias evaluation questions to read
- Turning responsible AI policy into controls1 free Turning responsible AI policy into controls questions to read
Operational Efficiency and Optimization for GenAI Applications
- Token efficiency (context pruning, prompt compression, response limits)1 free Token efficiency (context pruning, prompt compression, response limits) questions to read
- Cost-effective model choice and tiered usage1 free Cost-effective model choice and tiered usage questions to read
- Throughput, quotas and capacity planning1 free Throughput, quotas and capacity planning questions to read
- Prompt caching and semantic caching1 free Prompt caching and semantic caching questions to read
- Latency optimization (streaming, latency-optimized inference, parallel calls)1 free Latency optimization (streaming, latency-optimized inference, parallel calls) questions to read
- Tuning inference parameters (temperature, top-p, top-k, stop sequences)1 free Tuning inference parameters (temperature, top-p, top-k, stop sequences) questions to read
- Monitoring GenAI applications (CloudWatch, invocation logs, dashboards)1 free Monitoring GenAI applications (CloudWatch, invocation logs, dashboards) questions to read
- Agent and tool observability (AgentCore Observability, tracing)1 free Agent and tool observability (AgentCore Observability, tracing) questions to read
- Operating and tuning vector stores1 free Operating and tuning vector stores questions to read
Testing, Validation, and Troubleshooting
- Evaluating model output quality (Bedrock evaluations, LLM-as-a-judge)1 free Evaluating model output quality (Bedrock evaluations, LLM-as-a-judge) questions to read
- Evaluating RAG and retrieval quality1 free Evaluating RAG and retrieval quality questions to read
- Evaluating agents (task completion, tool use, AgentCore Evaluations)1 free Evaluating agents (task completion, tool use, AgentCore Evaluations) questions to read
- User feedback, annotation and reporting1 free User feedback, annotation and reporting questions to read
- Quality gates and validation for model and prompt updates1 free Quality gates and validation for model and prompt updates questions to read
- Troubleshooting context limits and API errors1 free Troubleshooting context limits and API errors questions to read
- Troubleshooting prompts and inconsistent responses1 free Troubleshooting prompts and inconsistent responses questions to read
- Troubleshooting retrieval quality1 free Troubleshooting retrieval quality questions to read
Frequently asked questions
Is the AIP-C01 practice exam really free?
- Yes. The free full-length 75-question AIP-C01 practice exam needs no sign-up and no email, and you can take it as often as you like, timed or at your own pace.
How many questions and how much time does the real AIP-C01 exam have?
- The AWS Certified Generative AI Developer – Professional exam has 75 questions and a time limit of 180 minutes, across 5 exam domains. The timed practice mode follows that pace.
Are these real exam questions?
- No. Every question is original practice material written for ExamPark, and each explains why every option is right or wrong, with links to the AWS documentation. We don't use recalled or leaked exam content. How we write questions is explained on the "How we write questions" page.
Do I need an account?
- Not for the free practice exam: it works without one, and your progress is saved on your device. You sign in with your email, with no password, to buy practice sets and keep your progress on every device.
What do the paid AIP-C01 practice sets add?
- 5 more full-length practice sets, 375 questions that are not in the free exam, plus randomized tests drawn from every set, topic practice across all of them, and answers saved so your weak areas are tracked over time. It is one payment with no subscription.
How long do I keep access to the practice sets?
- Access lasts at least 12 months from purchase, and it is a one-off payment, so there is nothing to cancel.
How do I know if I'm ready for AIP-C01?
- Take the timed practice exam and look at your score by domain: the weakest domains show where to study next. ExamPark's readiness estimate uses your recent timed exams. It is our own estimate, not an official AWS score, and no practice exam can promise a pass.
Additional resources
The official exam guide, free courses and the AWS reading the questions draw on.
See study resources