AAIA AI Governance And Risk Practice Question
An organization is using 'Federated Learning' to maintain data privacy while training models. What is the primary audit risk associated with this architecture?
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
✓
Model inversion attacks targeting the central aggregator
In Federated Learning, local model updates (gradients) can potentially reveal information about the underlying training data, necessitating 'Differential Privacy' as a control.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increased training latency
Why it's wrong here
This is a performance risk, not a fundamental security or governance risk.
- ✓
Model inversion attacks targeting the central aggregator
Why this is correct
The aggregation of gradients can be exploited to reconstruct private training data.
- ✗
Lack of access to training hardware
Why it's wrong here
Hardware access is a capacity planning issue, not an architectural risk.
- ✗
Centralized data breaches
Why it's wrong here
Federated learning is designed to avoid centralizing data, reducing this specific risk.
About these practice questions
One of 209 original AAIA practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.