AWS-CERTIFIED-GENERATIVE-AI-DEVELOPER-PROFESSIONAL-AIP-C01Updated 8d ago · Aug 28, 2026

AWS Certified Generative AI Developer - Professional AIP-C01

123 questions across 1 topics, with suggested answers, explanations where available, and imported community discussion. The first 12 questions are free to preview.

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#	Topic	Questions	Free
1	Operational Efficiency and Optimization for GenAI Applications	123	12

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Question 1 · Operational Efficiency and Optimization for GenAI Applications Open

A company plans to establish an annual customer rewards program. The rewards customers earn differ according to various parameters, including the categories of items they order and the customers' purchase history. The company requires a generative AI (GenAI) solution that uses three Amazon Bedrock agents to assist customers while they browse an online catalog. The agents must use knowledge bases and action groups to manage the search, recommendation, and order modules. The modules must run sequentially. An AWS Lambda function must calculate estimated rewards for every recommended item. The solution must offer graceful degradation during service disruptions. Which solution meets these requirements with the **MOST** operational efficiency?

Answer: B AWS Step Functions provides managed orchestration for sequential service tasks and supports task-level `Retry` and `Catch` error handling. A state machine can invoke the three Amazon Bedrock agents in order and then invoke the rewards-calculation Lambda function. Configuring retry and catch branches for each task enables targeted recovery or fallback behavior when an individual agent or function fails, without maintaining custom Lambda orchestration and error-handling code. **Learn more:** [Handling errors in Step Functions workflows](https://docs.aws.amazon.com/step-functions/latest/dg/concepts-error-handling.html) · [Orchestrating Lambda functions with Step Functions](https://docs.aws.amazon.com/lambda/latest/dg/with-step-functions.html)

Question 2 · AI Safety, Security, and Governance Open

A company uses an AWS Organizations organization with all features enabled to manage multiple AWS accounts. Employees use Amazon Bedrock in multiple accounts. The company must prevent particular topics and proprietary information from being included in prompts submitted to Amazon Bedrock models. The company must ensure that employees can use only approved Amazon Bedrock models. The company centrally administers IAM roles for employees. Which combination of solutions will satisfy these requirements? (Choose two.)

Answer: C, D Amazon Bedrock Guardrails can block denied topics and sensitive information in model input prompts. A block filtering policy prevents the content from being processed, whereas a mask policy redacts detected values. Deploying the guardrail configuration through AWS CloudFormation StackSets provides consistent central deployment to member accounts. An SCP can explicitly deny model invocations that do not include the required guardrail identifier, while permissions boundaries on centrally managed employee roles restrict invocation permissions to approved model resources. **Learn more:** [Enforce the use of specific guardrails in model inference requests](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails-permissions-id.html) · [Remove PII from conversations by using sensitive information filters](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails-sensitive-filters.html)

Question 3 · Foundation Model Integration, Data Management, and Compliance Open

A company is developing a generative AI (GenAI) application that generates content from a range of internal and external data sources. The company needs to ensure that all generated output is fully traceable. The application must support registering data sources and allow metadata tagging to attribute content to its original source. It must also retain audit logs of data access and usage across the entire pipeline. Which solution meets these requirements?

Answer: D AWS Glue Data Catalog centralizes data-source registration and metadata management, including tags that can preserve source attribution. AWS CloudTrail records API activity across AWS services, providing an audit trail for data access and pipeline activity. **Learn more:** [AWS Glue Data Catalog](https://docs.aws.amazon.com/glue/latest/dg/start-data-catalog.html) · [What Is AWS CloudTrail?](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-user-guide.html)