AI0-001 AI Security, Ethics and Governance Practice Question
Which practice best ensures AI systems comply with regulations like GDPR?
⚠ Common exam trap
The AI0-001 exam often tests the misconception that security practices (like vulnerability scans) are sufficient for privacy compliance, but GDPR specifically requires proactive data governance measures like minimization and anonymization, not just reactive security controls.
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 minimization and anonymization
Data minimization and anonymization directly align with GDPR's core principles, such as Article 5(1)(c) which mandates that personal data be 'adequate, relevant and limited to what is necessary.' By collecting only essential data and applying techniques like k-anonymity or differential privacy, AI systems reduce the risk of re-identification and ensure compliance with data protection by design and by default (Article 25). This practice is a foundational governance measure, not a reactive or staffing solution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using open-source models only
Why it's wrong here
Open-source does not ensure GDPR compliance.
- ✗
Regular vulnerability scans
Why it's wrong here
Scans address security, not privacy compliance.
- ✓
Data minimization and anonymization
Why this is correct
Directly supports GDPR requirements.
- ✗
Hiring more data scientists
Why it's wrong here
Hiring does not automatically result in compliance.
About these practice questions
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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.