Free Practice Questions for IBM C1000-162 Exam

The magnitude rating of an offense in QRadar is calculated based on relevance, severity, and credibility. Relevance determines the impact on the network, credibility indicates the integrity of the offense, and severity represents the level of threat. QRadar uses complex algorithms to calculate and periodically re-evaluate the offense magnitude rating​​.

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​​.

In IBM Security QRadar SIEM V7.5, custom rules play a crucial role in detecting and responding to potential security threats. These rules can be created from various tabs within the QRadar interface, offering flexibility in how and where analysts choose to define their custom detection logic. Specifically, custom rules can be created from the Offenses, Log Activity, or Network Activity tabs. From the Offenses tab, analysts can create rules that are triggered by specific offense characteristics or patterns. The Log Activity and Network Activity tabs allow for the creation of rules based on observed events or network flows, respectively. This multi-faceted approach to rule creation enables analysts to tailor their detection strategies to different aspects of their environment, leveraging the rich data and insights provided by QRadar to identify and mitigate threats effectively.

The information displayed when pressing “Ctrl + Space” in the search field in the Log Activity tab in QRadar is not explicitly mentioned in the search results. However, in general, this shortcut is often used in various software and platforms to display a list of available commands, functions, or properties. In the context of QRadar, it’s likely that pressing “Ctrl + Space” in the search field would display a list of available AQL (Ariel Query Language) databases, functions, and fields (properties).

Here's why an AQL statement will default to running for 5 minutes:

Timeout Protection: QRadar implements timeouts to prevent queries from running indefinitely and potentially overloading the system.

Default Timeout: If no explicit time criteria is specified, the standard timeout in QRadar is 5 minutes.exclamation

Modifying Timeouts: Advanced users can change this default, but it requires modification of QRadar configuration settings.

Use Case Manager: This app is specifically designed for investigation and analysis of offenses within QRadar. It offers more focused tools for this task than general Reports.

Active Rules: This view within the Use Case Manager provides insights into rules that directly triggered offenses. This is essential for filtering down to our target rules.

Filtering:

Start Date: Allows you to limit the analysis timeframe to the "previous week" as specified in the question.

Closure Reason: Crucially, this lets you isolate offenses marked as "False Positive" or "Tuned" – the core of the question.

The Application Overview dashboard in QRadar includes various default items1. Two of these items are Top Applications (Total Bytes) and Outbound Traffic by Country (Total Bytes)1.

Default dashboards - IBM Documentation

According to the IBM Security QRadar SIEM V7.5 documentation, the Application Overview dashboard by default includes items such as "Inbound Traffic by Country (Total Bytes)," "Outbound Traffic by Country (Total Bytes)," and "Top Applications (Total Bytes)" among others. This confirms that options C and D are displayed by default on the Application Overview dashboard​​.

Here's the breakdown of why this approach is the most suitable:

Focused Export: The "Event Export (with AQL)" option allows targeted exporting of events based on specific AQL queries. This ensures you only extract the necessary data.

Usability: The Log Activity tab's interface, including the Test and Export functionality, makes it easy to use even for less technical users familiar with basic QRadar concepts.

CSV Format: CSV offers a readable, widely compatible format for data review outside of QRadar.

Here's why this is the most effective approach:

False Positive Reduction: The goal is to stop legitimate traffic from triggering offenses. This requires fine-tuning the rules generating those offenses.

Building Blocks: Rules are housed within building blocks in QRadar's hierarchical rule structure. The Custom Rules Editor is the tool to modify them.

Event-Based Tuning: The optimal approach is to target the specific event that's causing the false positives, making the solution more precise.