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QRadar SIEM V7.5 Administration Questions 16–20 (page: 5)

Updated On: 10-Feb-2026

Which two (2) open standards does the QRadar Threat Intelligence app use for feeds?

  1. TAXII
  2. AQL
  3. STIX
  4. JSON
  5. OSINT

Answer(s): A,C

Explanation:

The QRadar Threat Intelligence app uses open standards to integrate and utilize threat intelligence feeds effectively. The two key standards used are:

TAXII (Trusted Automated eXchange of Indicator Information): This is an application layer protocol used for exchanging cyber threat intelligence over HTTPS. It enables the sharing of threat information across different systems and organizations.

STIX (Structured Threat Information eXpression): This is a standardized language used for representing structured cyber threat information. STIX enables the consistent and machine-readable representation of threat data, facilitating the integration and analysis of threat intelligence.

These standards ensure that threat intelligence data is formatted and exchanged in a consistent and interoperable manner, enhancing the overall effectiveness of the threat intelligence processes in QRadar.

Reference
The IBM QRadar SIEM documentation and threat intelligence app configuration guides describe the use of TAXII and STIX for integrating threat intelligence feeds.



Which event advanced search query will check an IP address against the Spam X-Force category with a confidence greater than 3?

  1. select * from events where XFORCE_IP_CONFIDENCE( 'Spam', sourceip>>3
  2. select * from flows where XFORCE_IP_CONFIDENCE{'Spam', sourceip)<3
  3. select * from flows where XF0RCE_iP_C0NFiDEKCE{*Malware',sourceip)-3
  4. select * from events where XF0RCE_IP_C0NFIDENCE('Malware',sourceip)>3

Answer(s): D

Explanation:

To check an IP address against the Spam X-Force category with a confidence greater than 3 using an advanced search query in QRadar, the correct query format is:

Query Structure: select * from events where XF0RCE_IP_C0NFIDENCE('Malware',sourceip)>3

Components:

select * from events: This part of the query selects all events from the QRadar events database.

where XF0RCE_IP_C0NFIDENCE('Malware',sourceip)>3: This filter checks if the source IP address has a confidence level greater than 3 for being associated with malware according to the X-Force category.

This query is designed to filter out and display events where the source IP is identified with high confidence as being associated with malicious activity.

Reference
The syntax and usage of advanced search queries are detailed in the IBM QRadar SIEM search and analytics guides, providing specific examples for utilizing X-Force threat intelligence data.



When will events or flows stop contributing to an offense?

  1. When the offense becomes dormant
  2. When the offense becomes inactive
  3. After the offense is assigned to an analyst
  4. When you protect the offense

Answer(s): A

Explanation:

In IBM QRadar SIEM V7.5, events or flows stop contributing to an offense when the offense becomes dormant. Here's how it works:

Dormant Offense: An offense becomes dormant when there is no new activity contributing to it for a specified period. This indicates that the threat or incident has not had any further related events or flows.

Contribution Stoppage: Once an offense is marked as dormant, no additional events or flows are added to it, which helps in managing the offense lifecycle and resources within QRadar.

This behavior helps in distinguishing between active and inactive threats, allowing security analysts to focus on ongoing incidents.

Reference
The QRadar SIEM administration and user guides provide detailed explanations of offense management, including the conditions under which offenses become dormant and how this affects event and flow contributions.



What is the main reason for tuning a building block?

  1. Increasing the performance of the ecs-ec-ingress service
  2. Reducing the number of false positives
  3. Properly documenting the building block for future administrators
  4. Reducing EPS usage

Answer(s): B

Explanation:

Tuning a building block in IBM QRadar SIEM V7.5 is primarily aimed at reducing the number of false positives. This process involves adjusting the rules and logic within the building block to better differentiate between normal and suspicious activity. Here's the detailed explanation:

False Positives: High numbers of false positives can overwhelm analysts and obscure genuine threats. Tuning helps in refining detection criteria to reduce these false alarms.

Rule Adjustments: Modifying the thresholds, conditions, and filters within the building block rules to ensure they more accurately reflect the environment's typical behavior.

Improved Accuracy: Enhanced precision in detecting true security incidents, thus improving the overall effectiveness of the SIEM solution.

Reference
IBM QRadar SIEM administration guides and best practice documents emphasize the importance of tuning to minimize false positives, ensuring more actionable alerts.



What is the primary method used by QRadar to alert users to problems?

  1. System Notifications
  2. System Summary
  3. Use Case Manager
  4. QRadar Assistant

Answer(s): A

Explanation:

The primary method used by IBM QRadar SIEM V7.5 to alert users to problems is through System Notifications. Here's how it works:

System Notifications: These are alerts generated by QRadar to inform users of various issues, such as system performance problems, license issues, or security incidents.

Visibility: Notifications are prominently displayed in the QRadar GUI, ensuring that administrators and users can quickly identify and respond to any problems.

Customization: Users can configure notification settings to receive alerts for specific types of issues, ensuring they stay informed about critical aspects of the system's health and performance.

Reference
IBM QRadar SIEM documentation outlines the use of System Notifications as the primary method for alerting users to issues, detailing how to configure and manage these alerts.



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