AAIR AI Risk Program Management Practice Question
When implementing an AI Risk Management program, which THREE components are necessary for effective monitoring?
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
✓
A mechanism for logging and auditing model outputs.
Real-time performance metrics, a process for human oversight, and a log of model decisions are foundational for continuous 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.
- ✗
A requirement that all staff undergo coding training.
Why it's wrong here
Training is a policy control, not a monitoring component.
- ✓
A mechanism for logging and auditing model outputs.
Why this is correct
Audit logs are necessary for accountability and incident investigation.
- ✗
A daily newsletter for employees about AI advancements.
Why it's wrong here
Communication is helpful but not a core risk monitoring component.
- ✓
A process for human intervention or override.
Why this is correct
Human oversight is a requirement for managing high-risk AI incidents.
- ✓
Automated real-time monitoring of model performance and drift.
Why this is correct
Drift detection is essential for ongoing reliability.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official ISACA exam blueprint
This AAIR practice question is part of Courseiva's free ISACA 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 AAIR exam.