AAIR AI Lifecycle Risk Management Practice Question
Which THREE factors should be monitored to detect 'Model Drift' in the deployment phase?
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
✓
The distribution of prediction outputs.
Feature distribution, target distribution, and model confidence scores all provide signals of drift.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The distribution of prediction outputs.
Why this is correct
Detects if the model's behavior is changing significantly.
- ✗
The temperature of the server room.
Why it's wrong here
Facility risk, not drift risk.
- ✗
The current market price of GPU hardware.
Why it's wrong here
Financial, not drift risk.
- ✓
The confidence score of the model predictions.
Why this is correct
Declining confidence often precedes performance failure.
- ✓
The distribution of incoming input features.
Why this is correct
Detects if the incoming data population has shifted.
About these practice questions
One of 199 original AAIR practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.