AWS Certified Cloud Practitioner

Explanation

Amazon Bedrock is the correct answer because:

1. Foundation Models Access: Amazon Bedrock provides access to various foundation models (FMs) from leading AI companies like Anthropic, AI21 Labs, Cohere, and Amazon's own Titan models.

2. No Infrastructure Management: Bedrock is a fully managed service, meaning the hospital doesn't need to provision, scale, or manage any infrastructure.

3. Secure and Private: Bedrock offers secure, private access to foundation models with data encryption and compliance with healthcare regulations.

4. Customization: Allows fine-tuning foundation models with the hospital's own data while keeping the data private and secure.

Why not the other options?:

• Amazon Comprehend Medical: This is a specialized medical NLP service for extracting medical information from text, but it's not a foundation model service and doesn't provide the same level of generative AI capabilities for creating personalized discharge summaries.

• Amazon Textract: This is for extracting text and data from documents, not for generating content using foundation models.

• Amazon SageMaker: While SageMaker can be used to build and deploy machine learning models, it requires infrastructure management and is more complex than Bedrock for accessing foundation models.

Key AWS Cloud Practitioner Concept: Understanding the purpose of Amazon Bedrock as a fully managed service for accessing foundation models aligns with AWS's serverless and managed service offerings that reduce operational overhead.