Answer: Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.

## Explanation **Correct Answer: D** **Why Option D is correct:** 1. **Amazon Bedrock Role with Full S3 Access**: This role allows Amazon Bedrock to access all customer data in S3 as needed for processing. 2. **Team-Specific IAM Roles**: Each team gets IAM roles with permissions limited to their specific customer folders in S3. This implements the principle of least privilege. 3. **Separation of Concerns**: The Bedrock role handles the AI/ML processing, while IAM roles control data access at the team level. 4. **AWS Best Practice**: This follows AWS security best practices by using IAM roles to control access to S3 resources based on team requirements. **Why other options are incorrect:** **A**: Creating custom service roles for each team in Bedrock would be complex and doesn't directly address S3 data access control at the folder level. **B**: Relying on teams to specify customer names in requests is not secure and doesn't enforce access control at the infrastructure level. **C**: Redacting personal data doesn't solve the access control problem - teams would still need controlled access to the data, and redaction doesn't address the requirement for team-specific data isolation. **Key AWS Concepts:** - **IAM Roles**: Provide temporary security credentials for AWS service access - **S3 Folder-Level Permissions**: Can be controlled using IAM policies with resource ARNs - **Amazon Bedrock Service Role**: Needs appropriate permissions to access data sources - **Principle of Least Privilege**: Grant only necessary permissions to perform required tasks

Author: Ritesh Yadav