AAISM AI Governance And Program Management Practice Question
An enterprise is defining its 'AI System Inventory'. Which metadata attribute is most critical for assessing legal and regulatory risk?
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
✓
Training data source and provenance.
Data origin and provenance are critical for determining compliance with GDPR, AI Act, and intellectual property requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Hardware acceleration type.
Why it's wrong here
Technical specification.
- ✗
Inference latency in milliseconds.
Why it's wrong here
Performance metric, not a compliance one.
- ✗
Model training compute cost.
Why it's wrong here
Financial metric, not a legal risk indicator.
- ✓
Training data source and provenance.
Why this is correct
Determines the legal basis for data processing and potential copyright infringement.
About these practice questions
Courseiva writes every AAISM question from scratch — 205 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 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.