AWS Certified Generative AI Developer - Professional (AIP-C01) - 340 Questions

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?

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?

3. A company is building a generative AI application and wants to use Amazon Bedrock to invoke the Anthropic Claude 3 Sonnet model. A developer must specify the correct model identifier in the API call. Which format correctly represents an Amazon Bedrock model ID for Anthropic Claude 3 Sonnet?

4. A data scientist is designing a prompt for an Amazon Bedrock model that should classify customer feedback as Positive, Neutral, or Negative. The scientist provides the instruction and the input text only — no examples are included in the prompt. What prompt engineering technique is being used?

5. A developer is using Amazon Bedrock to build a text generation application. The developer wants to define a reusable prompt structure where certain values — such as the customer name and product category — are replaced dynamically at runtime. Which Bedrock feature supports this pattern?