AWS Certified Generative AI Developer - Professional

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Explanation:

Explanation

Why Option C is correct:

Data residency and processing within the same continent: The solution specifies "Pre-process the data points within the Region based on geographic origin before sending the data points to Amazon Bedrock." This ensures data processing occurs within the same geographic region/continent as required.
Audit trails of decision-making processes: "Use AWS CloudTrail immutable logs to audit the decision-making processes" provides immutable audit trails, which is a key requirement for compliance and governance.
Data classification capabilities: "Use Amazon Macie to classify the data" directly addresses the requirement for data classification capabilities.
Compliance with local regulations: "Use Amazon S3 Object Lock with Region-specific S3 bucket policies" helps ensure data protection and storage compliance at the regional level.

Why Option A is incorrect:

Uses Amazon Bedrock cross-Region inference, which would violate the data residency requirement (data must stay within the same continent)
Uses Amazon CloudWatch instead of AWS CloudTrail for audit trails (CloudTrail is better suited for compliance and immutable logging)
Manual tracking of compliance certifications is inefficient and error-prone

Why Option B is incorrect:

While it mentions AWS CloudTrail immutable logs for auditing, it doesn't address the data classification requirement
It doesn't explicitly ensure data processing occurs within the same continent (just mentions deploying models to each Region)
Doesn't mention specific mechanisms for data residency compliance like Region-specific policies

Key AWS Services Used in Option C:

Amazon S3 Object Lock: For data protection and compliance
Region-specific S3 bucket policies: For enforcing data residency
Amazon Macie: For data classification and discovery
AWS CloudTrail immutable logs: For immutable audit trails of decision-making processes
Regional pre-processing: Ensures data stays within the same continent before Bedrock processing

This solution comprehensively addresses all requirements: data residency, audit trails, data classification, and compliance with local regulations.

Explanation:

Explanation

Why Option C is correct:

Data residency and processing within the same continent: The solution specifies "Pre-process the data points within the Region based on geographic origin before sending the data points to Amazon Bedrock." This ensures data processing occurs within the same geographic region/continent as required.
Audit trails of decision-making processes: "Use AWS CloudTrail immutable logs to audit the decision-making processes" provides immutable audit trails, which is a key requirement for compliance and governance.
Data classification capabilities: "Use Amazon Macie to classify the data" directly addresses the requirement for data classification capabilities.
Compliance with local regulations: "Use Amazon S3 Object Lock with Region-specific S3 bucket policies" helps ensure data protection and storage compliance at the regional level.

Why Option A is incorrect:

Uses Amazon Bedrock cross-Region inference, which would violate the data residency requirement (data must stay within the same continent)
Uses Amazon CloudWatch instead of AWS CloudTrail for audit trails (CloudTrail is better suited for compliance and immutable logging)
Manual tracking of compliance certifications is inefficient and error-prone

Why Option B is incorrect:

While it mentions AWS CloudTrail immutable logs for auditing, it doesn't address the data classification requirement
It doesn't explicitly ensure data processing occurs within the same continent (just mentions deploying models to each Region)
Doesn't mention specific mechanisms for data residency compliance like Region-specific policies

Key AWS Services Used in Option C:

Amazon S3 Object Lock: For data protection and compliance
Region-specific S3 bucket policies: For enforcing data residency
Amazon Macie: For data classification and discovery
AWS CloudTrail immutable logs: For immutable audit trails of decision-making processes
Regional pre-processing: Ensures data stays within the same continent before Bedrock processing

This solution comprehensively addresses all requirements: data residency, audit trails, data classification, and compliance with local regulations.

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A company is developing a generative AI (GenAI) application by using Amazon Bedrock. The application will analyze patterns and relationships in the company's data. The application will process millions of new data points daily across AWS Regions in Europe, North America, and Asia before storing the data in Amazon S3.

The application must comply with local data protection and storage regulations. Data residency and processing must occur within the same continent. The application must also maintain audit trails of the application's decision-making processes and provide data classification capabilities.

Which solution will meet these requirements?

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DDucse

Last updated: March 23, 2026 at 10:35

Deploy the application in each Region with local IAM policies. Use Amazon Bedrock cross-Region inference to distribute the workload. Use Amazon CloudWatch to log AI decision-making processes. Manually track compliance certifications across Regions.

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