AAISM AI Risk Management Practice Question
Which THREE practices are necessary for managing 'AI Model Version Control' as part of an overall risk management strategy?
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
✓
Using Git-based tracking for model configuration and code.
Version control ensures reproducibility, rollback capability, and auditability in AI risk management.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Allowing only one developer to modify the model.
Why it's wrong here
This creates a single point of failure and is not a version control practice.
- ✓
Using Git-based tracking for model configuration and code.
Why this is correct
Git is standard for tracking configuration and infrastructure as code.
- ✓
Maintaining a complete lineage of training data used for each version.
Why this is correct
Data lineage is required for reproducibility and audit.
- ✗
Storing only the production model artifact.
Why it's wrong here
You must store all versions to allow for rollbacks and investigation.
- ✓
Automated logging of training parameters and hyperparameters.
Why this is correct
Hyperparameter tracking is essential for model reproduction.
About these practice questions
One of 205 original AAISM 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 AAISM 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 AAISM exam.