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?
Answer(s): A
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 happens when you select "False Positive" from the right-click menu in the Log Activity tab?
Selecting "False Positive" from the right-click menu in the Log Activity tab opens a window that enables users to tune out events that are known to be false positives, preventing them from generating offenses. This feature is crucial for minimizing noise and focusing on genuine threats, thereby enhancing the efficiency of threat detection and response processes within QRadar.
Which statement regarding saved event search criteria is true?
Answer(s): B
In QRadar, when you save search criteria, especially on the Offenses tab, the configured search criteria are retained for future use and do not expire. This permanence ensures that users can quickly access and reuse their preferred search configurations, thereby streamlining the process of monitoring and investigating offenses over time.
Which two (2) aggregation types ate available for the pie chart in the Pulse app?
Answer(s): B,C
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.
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