AIP-C01 Question #49: Real Exam Question with Answer & Explanation

Question

A company uses an AI assistant application to summarize the company's website content and provide information to customers. The company plans to use Amazon Bedrock to give the application access to a foundation model (FM). The company needs to deploy the AI assistant application to a development environment and a production environment. The solution must integrate the environments with the FM. The company wants to test the effectiveness of various FMs in each environment. The solution must provide product owners with the ability to easily switch between FMs for testing purposes in each environment. Which solution will meet these requirements?

Options

• ACreate one AWS CDK application. Create multiple pipelines in AWS CodePipeline. Configure
• BCreate a separate AWS CDK application for each environment. Configure the applications to
• CCreate one AWS CDK application. Configure the application to invoke the Amazon Bedrock FMs
• DCreate one AWS CDK application for the production environment. Configure the application to

Explanation

Option C best satisfies the requirement for flexible FM testing across environments while minimizing operational complexity and aligning with AWS-recommended deployment practices. Amazon Bedrock supports invoking on-demand foundation models through the FoundationModel abstraction, which allows applications to dynamically reference different models without requiring dedicated provisioned capacity. This is ideal for experimentation and A/B testing in both development and production environments. Using a single AWS CDK application ensures infrastructure consistency and reduces duplication. Environment-specific configuration, such as selecting different foundation model IDs, can be externalized through parameters, context variables, or environment-specific configuration files. This allows product owners to easily switch between FMs in each environment without modifying application logic. A single AWS CodePipeline with distinct deployment stages for development and production is an AWS best practice for multi-environment deployments. It enforces consistent build and deployment steps while still allowing environment-level customization. AWS CodeBuild deploy actions enable automated, repeatable deployments, reducing manual errors and improving

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