AAISM AI Risk Management Practice Question
When evaluating an AI model for production, what does the 'F1 Score' tell you from a risk management perspective?
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 balance between model precision and recall.
The F1 score provides a balanced view of precision and recall, helping assess the risk of both false positives and false negatives.
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 latency of the model in milliseconds.
Why it's wrong here
This is a performance/speed metric.
- ✗
The total number of parameters in the model.
Why it's wrong here
This is a model complexity metric.
- ✓
The balance between model precision and recall.
Why this is correct
F1 is the harmonic mean of precision and recall, essential for risk evaluation.
- ✗
The total cost of training the model.
Why it's wrong here
This is a financial/operational metric.
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 AAISM 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 AAISM exam.