CAS-004 Security Operations Practice Question
A security operations center (SOC) analyst is tuning a SIEM correlation rule to detect a known attack pattern that involves multiple failed logins followed by a successful login from a different IP address. Which approach best reduces false positives while maintaining detection effectiveness?
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
✓
Use User Behavior Analytics (UBA) to baseline normal login patterns
UBA establishes a baseline of user behavior and flags deviations, reducing false positives from legitimate multiple failed logins (e.g., forgotten passwords) while still detecting anomalous patterns.
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 User Behavior Analytics (UBA) to baseline normal login patterns
Why this is correct
UBA adapts to user behavior, reducing false positives.
- ✗
Create a rule that alerts on any failed login
Why it's wrong here
This would generate excessive false positives.
- ✗
Correlate only with known malicious IP addresses
Why it's wrong here
Attackers often use new IPs, so this would miss many attacks.
- ✗
Set a threshold of 10 failed logins within 5 minutes
Why it's wrong here
Static thresholds can trigger on legitimate activity and miss attacks with lower counts.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CAS-005 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 CAS-005 exam.