AIF-C01 Fundamentals of Generative AI Practice Question
A healthcare company wants to use generative AI to automatically generate patient summary reports from electronic health records (EHRs). The solution must be HIPAA compliant and data must not leave AWS. They plan to use Amazon Bedrock with a foundation model. The EHR data is stored in Amazon S3 and contains protected health information (PHI). Which approach best meets compliance requirements?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Amazon Bedrock with a HIPAA-eligible account, enable encryption with KMS, and de-identify PHI in the prompt
Amazon Bedrock operates within a HIPAA-eligible environment when configured appropriately, and using AWS KMS for encryption and not storing PHI in prompts (using de-identification) can maintain compliance. Using public models or non-HIPAA services would violate requirements. SageMaker with encryption can also be HIPAA-eligible, but Bedrock with proper settings is simpler.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Amazon Bedrock with a HIPAA-eligible account, enable encryption with KMS, and de-identify PHI in the prompt
Why this is correct
Bedrock is HIPAA-eligible when used with AWS Organizations and BAA; de-identification and KMS encryption protect PHI.
- ✗
Use a publicly available foundation model API outside AWS for better accuracy
Why it's wrong here
Using external APIs would send data outside AWS, violating HIPAA data residency requirements.
- ✗
Use Amazon Comprehend Medical for entity extraction and then feed results into a model on Amazon Bedrock without de-identification
Why it's wrong here
Comprehend Medical is HIPAA-eligible, but sending PHI directly as prompts to Bedrock without de-identification may still expose data if prompts are logged.
- ✗
Use Amazon SageMaker with a public model from the internet without encryption
Why it's wrong here
Lack of encryption and use of public models does not ensure HIPAA compliance; SageMaker can be used but must be configured properly.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.