AAIA AI Governance And Risk Practice Question
You are reviewing a model risk management (MRM) framework for an AI system using NVIDIA NeMo Guardrails. What is the primary purpose of this tool in a risk mitigation 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
✓
To enforce safety boundaries on LLM inputs and outputs
NeMo Guardrails allows developers to define programmatic boundaries for LLM behavior, effectively serving as an automated control for AI governance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
To automate model retraining
Why it's wrong here
This tool focuses on inference safety, not operational retraining cycles.
- ✗
To improve model training speed
Why it's wrong here
This is a performance optimization, not an AI risk mitigation tool.
- ✓
To enforce safety boundaries on LLM inputs and outputs
Why this is correct
NeMo Guardrails provides a programmatic way to constrain model behavior to compliant, safe interactions.
- ✗
To encrypt training datasets
Why it's wrong here
Data encryption is handled by storage-level policies, not the guardrail software.
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.