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AI Governance And RiskhardMultiple ChoiceObjective-mapped

AAIA AI Governance And Risk Practice Question

During an audit of Google Cloud Vertex AI, you discover that sensitive PII is being logged during model inference. You need to implement a control that enforces privacy at the model serving layer. Which configuration should you verify?

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

Vertex AI Model privacy and data masking controls

Vertex AI supports data masking and privacy controls during inference to ensure PII is not stored in logs, which is a key component of 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.

  • Vertex AI Model privacy and data masking controls

    Why this is correct

    These controls are specifically designed to scrub or mask sensitive data during the model serving process.

  • Vertex AI Model Monitoring for data drift

    Why it's wrong here

    This monitors drift, not PII leakage during inference.

  • Vertex AI Feature Store access logs

    Why it's wrong here

    This would log features but does not provide a control to prevent PII logging during inference.

  • Cloud IAM role binding for Vertex AI

    Why it's wrong here

    IAM controls access permissions but does not scrub content from inference logs.

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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.