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AWS Certified Generative AI Developer - Professional (AIP-C01)

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Practice exam for the AWS Certified Generative AI Developer - Professional (AIP-C01). Covers foundation model integration, implementation and integration, AI safety and governance, operational efficiency, and testing and validation of generative AI applications.

⭐ Premium Updated Mar 2026

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Sample Questions — AWS Certified Generative AI Developer - Professional (AIP-C01)

5 free sample questions from this practice exam. Correct answers are highlighted.

1. A machine learning engineer is evaluating foundation models for a customer support chatbot that needs to handle both text conversations and analyze uploaded product images. The solution must minimize latency and support real-time interactions. Which Amazon Bedrock model capability should the engineer prioritize when selecting a model?

A Multimodal capability (text and vision input support) ✓ Correct
B Embedding generation capability for semantic similarity
C Fine-tuning support for domain-specific customization
D Streaming response support for incremental token delivery

2. A developer needs to invoke an Amazon Bedrock foundation model from an application and wants a unified API that works consistently across different model providers (Anthropic, Amazon, Meta) without changing the request structure. Which Bedrock API should the developer use?

A InvokeModel API with provider-specific request bodies
B Converse API with a standardized message structure ✓ Correct
C InvokeModelWithResponseStream API for real-time streaming
D ListFoundationModels API to query available model IDs

3. A developer is building a customer support chatbot using Amazon Bedrock Agents. The chatbot must retrieve real-time order status by calling an existing REST API hosted on the company's servers. Which component must the developer configure so the agent can invoke this external REST API?

A Attach a knowledge base that indexes the REST API documentation
B Create an action group with an OpenAPI schema and associate it with a Lambda function ✓ Correct
C Configure a model invocation profile pointing to the REST API endpoint
D Apply a guardrail that routes requests to the REST API when order keywords are detected

4. A company has deployed an Amazon Bedrock Agent for an HR assistant application. The agent must call an internal employee-lookup Lambda function whenever users ask about colleague details. Which is the CORRECT sequence for configuring this integration?

A Create the Lambda function, define an OpenAPI schema, then create an action group referencing both, and associate it with the agent ✓ Correct
B Create the Lambda function and directly attach it to the agent without an action group
C Grant the agent an IAM role with Lambda:InvokeFunction permission and specify the Lambda ARN in the agent's system prompt
D Create a knowledge base that points to the Lambda function's S3 output bucket and enable real-time sync

5. A financial services company is deploying an Amazon Bedrock-powered chatbot that must never discuss competitor products. The security team requires that any user message mentioning a competitor brand be blocked before the model processes it. Which Amazon Bedrock Guardrails feature should the developer configure?

A Configure content filtering with a high confidence threshold for the misconduct category
B Define a denied topic with a description of competitor products and a policy action of BLOCK ✓ Correct
C Add competitor brand names to the custom word filter list with action BLOCK
D Enable grounding checks with a threshold of 0.9 to detect off-topic responses

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Information

Questions 340
Time 2h 50min
Difficulty Hard
Minimum Score 75.00%


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