AAIA AI Governance And Risk Practice Question
Which technique is most appropriate for mitigating 'Concept Drift' in a production model?
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
✓
Implementing an automated re-training pipeline based on performance threshold triggers
Continuous re-training or fine-tuning based on recent data is the standard mitigation for concept 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.
- ✗
Increasing the number of neurons in the hidden layers
Why it's wrong here
Adding capacity doesn't solve drift; it just makes the model more complex.
- ✗
Moving the model to a larger GPU cluster
Why it's wrong here
Infrastructure upgrades don't fix the underlying statistical issue of concept drift.
- ✓
Implementing an automated re-training pipeline based on performance threshold triggers
Why this is correct
Automated re-training using recent, representative data corrects the drift in the model's concept.
- ✗
Restricting access to the training dataset
Why it's wrong here
Access restriction is a security control, not a drift mitigation tactic.
About these practice questions
One of 209 original AAIA 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 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.