Which two (2) pieces of information from the MaxMind account must be included in QRadar for
geographic data updates?
B, C
Explanation:
To include geographic data updates from MaxMind in IBM QRadar SIEM V7.5, the following two
pieces of information from the MaxMind account are required:
API Key: This key is used to authenticate and authorize access to the MaxMind services, ensuring that
QRadar can request and receive geographic data updates.
License Key: This key is associated with the MaxMind account and allows QRadar to utilize the
licensed geographic data for enhanced location-based analysis.
These keys ensure that the data integration is secure and that the usage complies with MaxMind's
licensing agreements.
Reference
IBM QRadar SIEM documentation specifies the API key and license key as necessary credentials for
integrating MaxMind geographic data, detailed in the setup and configuration sections.
To detect outliers, which Anomaly Detection Engine rule tests events or flows for volume changes
that occur in regular patterns?
C
Explanation:
In IBM QRadar SIEM V7.5, Anomaly Detection Engine rules that test events or flows for volume
changes occurring in regular patterns are known as Anomaly Rules. Here’s how they function:
Detection: Anomaly rules are designed to identify deviations from normal behavior by analyzing
patterns in the data.
Volume Changes: These rules specifically look for unusual increases or decreases in event or flow
volumes that might indicate potential security incidents.
Regular Patterns: By understanding regular patterns in network traffic and event logs, anomaly rules
can highlight significant outliers that warrant further investigation.
Reference
The functionality and configuration of anomaly rules are covered extensively in the IBM QRadar SIEM
administration guide, providing administrators with the tools to effectively detect and respond to
abnormal network activities.
What is the default day and time setting for when QRadar generates weekly reports?
A
Explanation:
In IBM QRadar SIEM V7.5, the default setting for generating weekly reports is configured to occur on:
Day: Sunday
Time: 01:00 AM
This setting ensures that the reports are generated during a typical low-activity period, minimizing
the impact on system performance and ensuring that the latest data from the previous week is
included.
Reference
The default configuration for report generation times is specified in the IBM QRadar SIEM V7.5
administration and user documentation.
When creating an identity exclusion search, what time range do you select?
B
Explanation:
When creating an identity exclusion search in IBM QRadar SIEM V7.5, the time range selected is
"Real time (streaming)." This setting ensures that the search continuously monitors and excludes
identities in real-time as data is ingested. Here’s the process:
Real-time Monitoring: Continuously updates the search results based on incoming data, providing
immediate exclusion of specified identities.
Streaming Data: Processes data in a live stream, ensuring that the exclusion criteria are applied
instantaneously as new events occur.
Reference
The setup and configuration of identity exclusion searches are detailed in the QRadar SIEM
administration guides, highlighting the importance of real-time streaming for effective identity
management.
A QRadar administrator needs to quickly check the disk space for all managed hosts. Which
command does the administrator use?
C
Explanation:
To quickly check the disk space for all managed hosts in IBM QRadar SIEM V7.5, the administrator
uses the following command:
Command: /opt/qradar/support/all_servers.sh -C -k 'df -Th'
Function: This command checks the disk space across all managed hosts, providing detailed
information about the filesystem types and disk usage.
Parameters:
-C: Executes the command on all managed hosts.
-k: Keeps the output in a human-readable format.
'df -Th': The specific command to display the disk space usage in a tabular format with human-
readable file sizes.
Reference
The IBM QRadar SIEM documentation provides a comprehensive list of commands for system
administration, including those for checking disk space on managed hosts.
Which two (2) open standards does the QRadar Threat Intelligence app use for feeds?
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?
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?
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?
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?
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.