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AI Governance And RiskhardMultiple SelectObjective-mapped

AAIA AI Governance And Risk Practice Question

Which TWO of the following are examples of 'Model Risk Management' (MRM) controls that must be validated during an audit?

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

Post-deployment performance and drift monitoring

Model validation and ongoing performance monitoring are the standard controls used to manage model risk after deployment.

Answer analysis

Option-by-option breakdown

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

  • Automated deployment pipeline triggers

    Why it's wrong here

    These improve velocity but are not inherently risk management controls.

  • Post-deployment performance and drift monitoring

    Why this is correct

    Ensures the model continues to perform as expected over time.

  • Standardized IDE choice for developers

    Why it's wrong here

    Development tooling is an IT standard, not an MRM control.

  • Increasing training dataset size by 50%

    Why it's wrong here

    This is a data strategy decision, not a risk control.

  • Independent model validation post-development

    Why this is correct

    Independent validation is a cornerstone of MRM to identify hidden flaws.

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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.