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AI Governance And RiskmediumMultiple ChoiceObjective-mapped

AAIA AI Governance And Risk Practice Question

An organization uses AWS SageMaker. As an auditor, you need to verify that model lineage and versioning are being captured to satisfy the AI risk assessment requirement for reproducibility. Which feature ensures that every model training job is recorded with its data sources?

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

SageMaker Lineage Tracking

SageMaker Lineage Tracking automatically captures the relationship between data, models, and training jobs to ensure full auditability.

Answer analysis

Option-by-option breakdown

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

  • SageMaker Lineage Tracking

    Why this is correct

    This feature allows auditors to trace the exact lineage of a model back to its training source.

  • AWS CloudTrail

    Why it's wrong here

    CloudTrail logs API calls but does not correlate model artifacts to specific training datasets.

  • SageMaker Clarify

    Why it's wrong here

    Clarify is used for detecting bias and explainability, not lineage tracking.

  • SageMaker Model Registry

    Why it's wrong here

    The Registry manages model lifecycle stages, not the lineage tracking of training data.

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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.