AAIR AI Risk Program Management Practice Question
Which THREE metrics should be tracked to assess the 'Risk' of an AI model in production?
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
✓
Model accuracy/error rate
Risk is measured by performance stability (drift), accuracy, and operational health.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Model accuracy/error rate
Why this is correct
Errors represent a direct risk to the business.
- ✗
The brand of the coffee machine
Why it's wrong here
Irrelevant.
- ✗
The number of employees in the break room
Why it's wrong here
Irrelevant.
- ✓
Model latency (response time)
Why this is correct
Latency can cause operational failures.
- ✓
Data drift
Why this is correct
Drift indicates that the model's assumptions are no longer valid.
About these practice questions
Courseiva writes every AAIR question from scratch — 199 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 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.