Online C1000-162 Questions Video

In QRadar, to limit the time period for which an AQL (Ariel Query Language) query is evaluated, the functions and clauses that can be used include START, STOP, LAST, NOW, and PARSEDATETIME. Specifically, the LAST function is used to define a relative time range for the query, such as "LAST 2 DAYS"​​.

Behavioral rule test parameters in QRadar SIEM are crucial for configuring how anomaly detection functions within rules. Here's a breakdown of each parameter:

• Season:This is themost importantparameter. It defines the historical time period used to establish a baseline of "normal" behavior. Consider the nature of the traffic you're monitoring when choosing a season:
• Current traffic level:Represents the current value of the property being monitored by the rule (e.g., number of login failures, bandwidth usage, etc.).
• Predicted value:This is an estimation of what the traffic level "should" be, based on the established season and historical trends.

How the Parameters Work Together

Behavioral rules primarily identify deviations between theCurrent traffic leveland thePredicted valuewithin the context of the definedSeason. Significant discrepancies can trigger alerts.

References

• IBM Security QRadar Documentation - Anomaly Detection Rules: (https://www.ibm.com/docs/en/qradar-on-cloud?topic=rules-anomaly-detection). Search for "behavioral rule test parameter options" within the relevant documentation for QRadar SIEM V7.5.

The magnitude rating of an offense in IBM Security QRadar SIEM V7.5 is calculated based on three key parameters: severity, relevance, and credibility. Severity indicates the level of threat, relevance determines the offense's impact on the network, and credibility reflects the integrity of the offense as determined by the credibility rating configured in the log source. This combination of factors helps prioritize offenses and guide analysts on which ones to investigate first​​.