What type of custom property should be used when an analyst wants to combine extraction-based URLs, virus names, and secondary user names into a single property?
When an analyst wants to combine multiple extraction and calculation-based properties into a single property, such as URLs, virus names, and secondary user names, an AQL-based property should be used. AQL (Ariel Query Language)-based properties allow for the aggregation of diverse data types into a unified custom property, facilitating more flexible and comprehensive data analysis within QRadar.
What feature in QRadar uses existing asset profile data so administrators can define unknown server types and assign them to a server definition in building blocks and in the network hierarchy?
In IBM Security QRadar SIEM V7.5, the feature that utilizes existing asset profile data to define unknown server types and assign them to server definitions in building blocks and in the network hierarchy is known as 'Server Discovery.' This feature grants permission to discover servers, thereby enabling administrators to identify and classify various server types within their network infrastructure, enhancing the overall asset management and security posture.
On the Offenses tab, which column explains the cause of the offense?
On the Offenses tab within QRadar, the 'Offense Type' column explains the cause of the offense. The offense type is determined by the rule that triggered the offense, and it dictates the kind of information displayed in the Offense Source Summary pane. This helps analysts understand the nature and origin of the offense, facilitating more effective investigation and response actions.
Which two (2) aggregation types ate available for the pie chart in the Pulse app?
For pie charts in the Pulse app of QRadar, the available aggregation types include 'Total' and 'Average.' These aggregation types allow for the representation of data in a manner that summarizes the total sum of the data points or their average value, respectively, providing insightful and concise visualizations of the data within the Pulse app dashboards. This information is implied from the general capabilities of dashboard items in QRadar, as detailed in the provided documentation, which typically includes such aggregation options for data visualization.
In QRadar. what do event rules test against?
Event rules in QRadar test against incoming log source data processed in real time by the QRadar Event Processor. This real-time processing enables QRadar to analyze and respond to security events as they occur, enhancing the system's ability to detect and mitigate threats promptly.
