AIF-C01 Guidelines for Responsible AI Practice Question
A healthcare company is training a model on sensitive patient data using Amazon SageMaker. They need to ensure that individual patient data cannot be reverse-engineered from the model. Which technique should they implement during training?
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
✓
Differential privacy
Differential privacy adds noise to the training process to protect individual records. Data encryption and IAM control access but do not prevent inference from model parameters; Model Monitor is for post-deployment monitoring.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Data encryption at rest
Why it's wrong here
Encryption protects data storage but not model inversion attacks.
- ✗
AWS Identity and Access Management (IAM) policies
Why it's wrong here
IAM controls access to resources but does not provide algorithmic privacy.
- ✓
Differential privacy
Why this is correct
Differential privacy provides mathematical guarantees that the model does not memorize individual data points.
- ✗
SageMaker Model Monitor
Why it's wrong here
Model Monitor tracks data quality and drift, not privacy preservation.
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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.