AIF-C01 Question 96
Select 3You are building a generative AI application that processes sensitive customer data and must comply with regulations such as GDPR. Which benefits of AWS infrastructure would best support this use case?
- A
AWS offers built-in security features such as encryption for data at rest and in transit.
- B
AWS provides pre-trained generative AI models that eliminate the need for security measures.
- C
AWS complies with global regulatory frameworks, including GDPR, HIPAA, and SOC 2.
- D
AWS allows you to configure fine-grained access controls using Identity and Access Management (IAM).
- E
AWS automatically guarantees ethical use of your generative AI applications without human oversight.
Show answer and explanation
Correct answers: A, C, D
Explanation
AWS infrastructure benefits generative AI applications by providing robust security features, compliance with global regulations, and fine-grained access controls, all of which are essential for handling sensitive customer data responsibly and securely. However, users must still ensure ethical practices and implement security measures effectively.
- A. Correct.
AWS provides robust security features such as encryption for data at rest and in transit, ensuring sensitive data is protected during storage and transmission.
- B. Incorrect.
While AWS provides pre-trained models, security measures are still necessary and not eliminated by using these models.
- C. Correct.
AWS complies with multiple global regulatory frameworks, making it suitable for applications that must align with legal and compliance requirements like GDPR.
- D. Correct.
AWS IAM allows you to implement fine-grained access controls, ensuring that only authorized users and systems can access sensitive data and resources.
- E. Incorrect.
AWS provides tools and frameworks for building responsible AI, but ethical use still requires human oversight and proper implementation by the user.