AAIR AI Lifecycle Risk Management Practice Question
You are assessing risk for an AI model that uses 'Transfer Learning'. What is the most critical risk to manage regarding the pre-trained base model?
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
✓
The base model may have been trained on data that contains inherent, unidentifiable biases.
Transfer learning risks include the inheritance of latent biases from the pre-trained weights.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The base model cannot be used with custom datasets.
Why it's wrong here
Custom datasets are the primary use case for transfer learning.
- ✓
The base model may have been trained on data that contains inherent, unidentifiable biases.
Why this is correct
Inherited bias is the most critical and hardest-to-detect risk in transfer learning.
- ✗
The base model will always run out of memory.
Why it's wrong here
Memory usage is manageable through model optimization techniques.
- ✗
The base model requires a proprietary operating system.
Why it's wrong here
Base models are generally OS-agnostic.
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 AAIR 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 AAIR exam.