AI0-001 AI Security, Ethics and Governance Practice Question
Which THREE are effective methods for ensuring data privacy in AI training? (Choose three.)
⚠ Common exam trap
The AI0-001 exam often tests the distinction between security controls (like encryption) and privacy-preserving techniques, trapping candidates who confuse data protection at rest with privacy during model 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
✓
Data anonymization
Data anonymization (B) is correct because it removes or obfuscates personally identifiable information (PII) from training datasets, ensuring that individuals cannot be re-identified. This is a foundational privacy technique that directly addresses regulatory requirements like GDPR and CCPA by breaking the link between data and specific individuals.
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 storage but not inference attacks.
- ✓
Data anonymization
Why this is correct
Removes personally identifiable information.
- ✓
Differential privacy
Why this is correct
Adds noise to protect individual data.
- ✗
Data replication
Why it's wrong here
Replication increases exposure.
- ✓
Federated learning
Why this is correct
Trains without centralizing data.
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.