IBM Security C1000-162 Exam Questions and Answers PDF

Events can be exported from the QRadar Log Activity tab in XML (Extensible Markup Language) or CSV (Comma-Separated Values) formats, providing flexibility in how data is extracted and used for further analysis outside of QRadar​​.

To perform an IP address X-Force Exchange Lookup in QRadar, you can follow these steps2:

Select the Log Activity or the Network Activity tab.

Right-click the IP address that you want to view in X-Force Exchange.

Select More Options > Plugin Options > X-Force Exchange Lookup to open the X-Force Exchange interface2.

The procedure to perform an IP address X-Force Exchange Lookup in QRadar involves selecting either the Log Activity or the Network Activity tab, right-clicking the IP address of interest, and then navigating through More Options > Plugin Options > X-Force Exchange Lookup to access the X-Force Exchange interface​​.

IOCs and Reference Sets: Reference sets are specifically designed to store lists of Indicators of Compromise (IOCs) like IP addresses, domain names, file hashes, etc.

Correlation and Matching: QRadar can match events and flows against data in reference sets, triggering rules or alerts when suspicious activity is detected.

Time Series Charts in QRadar: Time series charts visualize how event or flow data changes over time. They are primarily used to spot trends and anomalies.

Interactivity: QRadar's time series charts allow zooming, panning, and hovering to see specific data points. This helps analysts drill down into patterns.

Search-Based: Time series charts always reflect the results of a search query. Changing the time range or refining the search alters the chart.

Inaccurate Statements

A. Static time series: QRadar's charts are not static; the interactivity is key.

C & D. Export Time: These focus on data export, which isn't directly related to the nature of time series charts themselves.

References

IBM QRadar Documentation - Time Series Charts: https://www.ibm.com/docs/en/qradar-common?topic=pulse-aggregating-data-create-time-series-chart