Answer: Configure Amazon Macie to detect sensitive information in the documents that are uploaded to Amazon S3.

## Explanation **Correct Answer: A** Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS. It requires minimal development effort because: 1. **Fully Managed Service**: Amazon Macie is a fully managed AWS service that automatically discovers and classifies sensitive data 2. **No Development Required**: Unlike options B and C, there's no need to develop, train, or deploy models or write regex patterns 3. **Automated Detection**: Macie uses machine learning and pattern matching to automatically detect sensitive data like personally identifiable information (PII), financial data, and intellectual property 4. **Integration with S3**: It seamlessly integrates with Amazon S3 to scan objects for sensitive data **Why other options are incorrect:** - **Option B**: Using Amazon SageMaker to deploy an LLM requires significant development effort including model selection, training, deployment, and maintenance - **Option C**: Developing regex patterns requires ongoing development and maintenance as new patterns of sensitive data emerge, and it's less accurate than ML-based solutions - **Option D**: This is not an automated technical solution and relies on human behavior, which is unreliable for sensitive data detection Amazon Macie provides the most automated solution with the least development effort for sensitive information detection in AWS environments.

Author: Ritesh Yadav