AI0-001 AI Governance and Ethics Practice Question
A company is developing an AI-driven recruitment tool. To comply with the EU AI Act's high-risk requirements, which TWO of the following are mandatory obligations?
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
✓
Maintain technical documentation and risk management
High-risk AI systems under the EU AI Act must implement human oversight mechanisms and maintain a technical documentation and risk management system. Transparency disclosure is required, but not necessarily to users in all cases (it depends on context). The other options are not mandatory for all high-risk systems.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Publish the model's source code publicly
Why it's wrong here
The Act does not require open-sourcing of high-risk AI systems.
- ✗
Conduct a data protection impact assessment (DPIA)
Why it's wrong here
DPIA is required under GDPR, but not specifically mandated by the EU AI Act for all high-risk systems.
- ✗
Disclose to users that they are interacting with an AI system
Why it's wrong here
Transparency obligations apply, but not uniquely to high-risk systems; also, disclosure is not always mandatory for back-end processing.
- ✓
Maintain technical documentation and risk management
Why this is correct
Technical documentation and risk management are mandatory for high-risk systems.
- ✓
Ensure human oversight of the AI system
Why this is correct
Human oversight is a mandatory requirement for high-risk AI systems under the Act.
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.