AAIA AI Auditing Tools And Techniques Practice Question
Which technique is recommended for auditing 'data leakage' in a feature engineering pipeline?
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
✓
Temporal cross-validation
Cross-validation using temporal splits (rather than random splits) prevents training on future information.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Feature ablation
Why it's wrong here
Ablation tests feature importance, not leakage.
- ✗
Normalization
Why it's wrong here
Normalization scales features.
- ✗
Random sampling
Why it's wrong here
Random sampling often causes data leakage in time-series.
- ✓
Temporal cross-validation
Why this is correct
Temporal splits prevent data from the future leaking into the past.
About these practice questions
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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.