C1000-156 · Question #2
To detect outliers, which Anomaly Detection Engine rule tests events or flows for volume changes that occur in regular patterns?
The correct answer is C. Anomaly rules. In IBM QRadar SIEM V7.5, Anomaly Detection Engine rules that test events or flows for volume changes occurring in regular patterns are known as Anomaly Rules. Here's how they function: Detection: Anomaly rules are designed to identify deviations from normal behavior by…
Question
To detect outliers, which Anomaly Detection Engine rule tests events or flows for volume changes that occur in regular patterns?
Options
- ABehavioral rules
- BThreshold rules
- CAnomaly rules
- DBuilding block rules
How the community answered
(45 responses)- A2% (1)
- B4% (2)
- C80% (36)
- D13% (6)
Explanation
In IBM QRadar SIEM V7.5, Anomaly Detection Engine rules that test events or flows for volume changes occurring in regular patterns are known as Anomaly Rules. Here's how they function: Detection: Anomaly rules are designed to identify deviations from normal behavior by analyzing patterns in the data. Volume Changes: These rules specifically look for unusual increases or decreases in event or flow volumes that might indicate potential security incidents. Regular Patterns: By understanding regular patterns in network traffic and event logs, anomaly rules can highlight significant outliers that warrant further investigation.
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