Free Practice Questions for IBM C1000-162 Exam

In IBM Security QRadar SIEM, generating a report using the QRadar Report Wizard requires a "Saved Search" and a "Layout." A Saved Search is a predefined search criterion that users save in QRadar to reuse for various reporting or analysis purposes. It acts as the data source for the report, defining what data will be included. The Layout component refers to the structure and presentation of the report, including how the data from the Saved Search is organized and displayed. It encompasses the formatting, charts, tables, and other visual elements that make up the final report. Together, these components ensure that reports are not only informative but also well-organized and readable, catering to the specific informational needs and preferences of the users or stakeholders.

The example provided refers to a "Reference table," which is a type of reference data collection in QRadar that can store complex structured data. A reference table allows for multiple keys and values, supporting the storage of data like Usernames, Source IPs with a specific data type (e.g., cidr for IP addresses), and Source Ports as values​​.

Rules that have tests against both event and flow data in QRadar are typically known as "Anomaly rules." These rules are designed to detect unusual or unexpected patterns of activity that deviate from the norm, which can be indicative of security threats. By analyzing both event data (which could include log entries, system alerts, etc.) and flow data (which represents network traffic), anomaly rules can provide a comprehensive view of potential security incidents, identifying anomalies that might not be evident when looking at event or flow data in isolation.

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

Common Rules: The foundation of QRadar's event analysis. They operate on structured events representing activity from various log sources.

Event Processor: Responsible for normalizing and categorizing raw log data from various sources into structured QRadar events.

Key-Value Mapping: You need to associate each patent ID (key) with multiple usernames (values).

Sets: The ability to store multiple values per key is a core feature of reference maps of sets.

Unique Keys: QRadar requires unique keys within reference sets collections.