Courseiva
AI Lifecycle Risk ManagementhardMultiple ChoiceObjective-mapped

AAIR AI Lifecycle Risk Management Practice Question

You are auditing a model's lifecycle and discover that the training data distribution changes every time the model retrains. What is the biggest risk here?

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 behavior will be inconsistent and difficult to reproduce, making debugging impossible.

Non-deterministic training data results in unstable models where performance can fluctuate unpredictably.

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 model will require more compute power.

    Why it's wrong here

    This is a performance concern, not a risk of behavior.

  • The model will be too secure.

    Why it's wrong here

    There is no such thing as 'too secure' in this context.

  • The model will be too small.

    Why it's wrong here

    Model size is not the issue.

  • The model's behavior will be inconsistent and difficult to reproduce, making debugging impossible.

    Why this is correct

    Lack of reproducibility is a critical failure in AI governance and risk management.

About these practice questions

One of 199 original AAIR 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 →

How Courseiva writes practice questions · Editorial policy

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 AAIR 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 AAIR exam.