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Answer: AWS Audit Manager, AWS Config
The question asks for two AWS services that help assess compliance requirements for an ML application's development phases, focusing on continuous monitoring of policies and regulations. **AWS Audit Manager (Option A)** is specifically designed for compliance assessment. It automates evidence collection for audits against industry standards and regulations, which is crucial for a financial company dealing with stock market data. It provides continuous compliance monitoring by mapping AWS resource configurations to compliance frameworks, making it ideal for ensuring adherence to financial regulations throughout development. **AWS Config (Option B)** enables continuous monitoring and assessment of AWS resource configurations. It evaluates configurations against desired policies, detects non-compliant changes, and provides a detailed inventory of resources. This is essential for maintaining compliance with company policies and industry regulations during application development phases. **Why other options are less suitable:** - **Amazon Inspector (Option C)** focuses on security vulnerability assessment for EC2 instances and container images, not broader compliance monitoring. - **Amazon CloudWatch (Option D)** is for monitoring operational performance and logs, not specifically for compliance assessment. - **AWS CloudTrail (Option E)** provides audit trails of API calls for security and governance, but it's more about tracking user activity rather than assessing compliance against policies and regulations. Together, AWS Audit Manager and AWS Config provide a comprehensive approach: Audit Manager handles evidence collection and framework mapping, while Config ensures resource configurations remain compliant throughout development.
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Which two AWS services can assist the company in evaluating compliance requirements for their machine learning application's development phases?
A
AWS Audit Manager
B
AWS Config
C
Amazon Inspector
D
Amazon CloudWatch
E
AWS CloudTrail