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AAIA AI Auditing Tools And Techniques Practice Question

When auditing model explainability, why is it risky to rely solely on 'Global Feature Importance'?

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

It fails to explain individual decisions

Global importance explains the model overall, but individual predictions (local) may be driven by different factors.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • It lacks local prediction accuracy

    Why it's wrong here

    Global importance is mathematically sound, just less specific.

  • It uses too much memory

    Why it's wrong here

    Memory is not a primary constraint for global importance.

  • It fails to explain individual decisions

    Why this is correct

    Local explainability is needed for individual request transparency.

  • It is only for regression models

    Why it's wrong here

    It works for both classification and regression.

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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.