AI0-001 AI Implementation and Operations Practice Question
An AIOps platform monitors server metrics and triggers alerts. The team notices too many false positives. Which adjustment should be made to the anomaly detection model?
⚠ Common exam trap
CompTIA often tests the misconception that adding more data or using a more complex model inherently improves accuracy, when in fact the threshold tuning is the direct lever for controlling false positive rates in operational AIOps systems.
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
✓
Raise the anomaly score threshold for triggering alerts.
Raising the anomaly score threshold (Option D) directly reduces false positives by requiring a higher deviation from normal behavior before an alert is triggered. In AIOps platforms, the anomaly score is a numeric value (e.g., 0–100) that quantifies how unusual a metric is; a higher threshold means only more extreme deviations generate alerts, filtering out minor fluctuations that were incorrectly flagged.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a more complex model to better fit the data.
Why it's wrong here
More complex models can overfit and increase false positives.
- ✗
Shorten the observation window to detect anomalies faster.
Why it's wrong here
Shorter windows increase sensitivity to transient noise.
- ✗
Increase the training data to include more normal patterns.
Why it's wrong here
More normal data might not reduce false positives if threshold unchanged.
- ✓
Raise the anomaly score threshold for triggering alerts.
Why this is correct
A higher threshold means only more extreme deviations trigger alerts.
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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.