AI0-001 Implementing AI Solutions Practice Question
A recommendation system for an e-commerce platform is experiencing a high false positive rate in its anomaly detection module, causing legitimate transactions to be flagged as fraudulent. The team wants to reduce false positives without significantly increasing false negatives. Which action is MOST effective?
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
✓
Increase the anomaly detection threshold
Adjusting the classification threshold to be more conservative (requiring higher anomaly score) will reduce false positives at the cost of some increase in false negatives, but the goal is to minimize false positives while maintaining acceptable recall.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Decrease the anomaly detection threshold
Why it's wrong here
Decreasing the threshold would flag more transactions as anomalies, increasing false positives further.
- ✓
Increase the anomaly detection threshold
Why this is correct
Raising the threshold means only transactions with a very high anomaly score are flagged, reducing false positives.
- ✗
Use a different anomaly detection algorithm
Why it's wrong here
Switching algorithms might help but is a larger change; threshold tuning is the direct lever to manage false positive rate.
- ✗
Increase the size of the training dataset
Why it's wrong here
Adding more data may help general performance but does not directly address the threshold trade-off.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.