AI0-001 AI Security Practice Question
An organization wants to train a machine learning model on sensitive patient data without exposing individual records. Which privacy-preserving technique allows the model to learn from data distributed across multiple hospitals without raw data leaving each site?
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
✓
Federated learning
Federated learning trains models locally at each site and only shares model updates, not raw data. Differential privacy adds noise, homomorphic encryption allows computation on encrypted data, and k-anonymity is a data anonymization technique.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Homomorphic encryption
Why it's wrong here
Homomorphic encryption allows computation on encrypted data but is computationally intensive and not typically used for distributed training across sites.
- ✓
Federated learning
Why this is correct
Federated learning trains on decentralized data and only shares model weights, preserving privacy.
- ✗
k-anonymity
Why it's wrong here
k-anonymity anonymizes datasets but requires data centralization.
- ✗
Differential privacy
Why it's wrong here
Differential privacy adds noise to protect individual data but data still leaves each site.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.