AAIA AI Operations Practice Question
When auditing an AI model, what does 'Concept Drift' signify to an operational team?
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 model's predictive accuracy is likely degrading
Concept drift occurs when the statistical relationship between input and target variable changes, rendering the model obsolete.
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 training data was leaked
Why it's wrong here
Data leakage is a separate issue.
- ✗
The model is overfitted
Why it's wrong here
Overfitting is a training-phase defect.
- ✓
The model's predictive accuracy is likely degrading
Why this is correct
Requires model retraining.
- ✗
The model is running too fast
Why it's wrong here
Drift is about accuracy, not speed.
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 AAIA 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 AAIA exam.