IBM C1000-156 Practice Exams
Last updated on Oct 21,2026- Exam Code: C1000-156
- Exam Name: IBM Security QRadar SIEM V7.5 Administration
- Certification Provider: IBM
- Latest update: Oct 21,2026
Question #1
When will events or flows stop contributing to an offense?
- A . When the offense becomes dormant
- B . When the offense becomes inactive
- C . After the offense is assigned to an analyst
- D . When you protect the offense
Correct Answer: A
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.
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.
Question #2
What is the primary benefit of utilizing a lazy search in QRadar?
- A . It accelerates the search process
- B . It eliminates the need for user intervention
- C . It restricts the search to a specified date range
- D . It limits the results to manageable chunks
Correct Answer: D
Question #3
Which field is mandatory when you use the DSM Editor to map an event to a OID?
- A . High-level Category
- B . Low-level Category
- C . Event Category
- D . Event ID
Correct Answer: D
D
Explanation:
When using the DSM (Device Support Module) Editor in IBM QRadar to map an event to an OID (Object Identifier), the Event ID field is mandatory. The Event ID uniquely identifies the event within QRadar and is essential for ensuring that the correct event data is associated with the appropriate OID. This mapping process allows QRadar to properly categorize and handle events based on their unique identifiers.
Reference
QRadar SIEM V7.5 Administration Guide – Chapter on DSM Editor and Event Mapping
D
Explanation:
When using the DSM (Device Support Module) Editor in IBM QRadar to map an event to an OID (Object Identifier), the Event ID field is mandatory. The Event ID uniquely identifies the event within QRadar and is essential for ensuring that the correct event data is associated with the appropriate OID. This mapping process allows QRadar to properly categorize and handle events based on their unique identifiers.
Reference
QRadar SIEM V7.5 Administration Guide – Chapter on DSM Editor and Event Mapping
Question #4
Which event advanced search query will check an IP address against the Spam X-Force category with a confidence greater than 3?
- A . select * from events where XFORCE_IP_CONFIDENCE( ‘Spam’, sourceip>>3
- B . select * from flows where XFORCE_IP_CONFIDENCE{‘Spam’, sourceip)<3
- C . select * from flows where XF0RCE_iP_C0NFiDEKCE{*Malware’,sourceip)-3
- D . select * from events where XF0RCE_IP_C0NFIDENCE(‘Malware’,sourceip)>3
Correct Answer: D
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.
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.
Question #5
You are using the command line interface (CLI) and need to fix a storage issue.
What command do you use to verify disk usage levels?
- A . df -h
- B . Is -laF
- C . lsof -h
- D . du -h
Correct Answer: A
A
Explanation:
To verify disk usage levels in a Linux environment, the df -h command is used. This command provides an overview of the disk space usage, displaying the available and used space in a human-readable format.
Open the terminal or CLI on the system.
Type df -h and press Enter.
Review the output, which will show the filesystem, size, used space, available space, and usage percentage for all mounted filesystems.
Reference
IBM QRadar SIEM V7.5 Administration documentation.
A
Explanation:
To verify disk usage levels in a Linux environment, the df -h command is used. This command provides an overview of the disk space usage, displaying the available and used space in a human-readable format.
Open the terminal or CLI on the system.
Type df -h and press Enter.
Review the output, which will show the filesystem, size, used space, available space, and usage percentage for all mounted filesystems.
Reference
IBM QRadar SIEM V7.5 Administration documentation.
Question #6
What is the default day and time setting for when QRadar generates weekly reports?
- A . Sunday 01:00 AM
- B . Monday 02:00 AM
- C . Sunday 02:00 AM
- D . Monday 01:00 AM
Correct Answer: A
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.
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.
Question #7
Which command can a QRadar administrator use to connect to the QRadar app container?
- A . yum info <app id>
- B . recon connect <app id>
- C . recon ps <app id>
- D . app connect <app id>
Correct Answer: B
B
Explanation:
A QRadar administrator can use the recon connect <app id> command to connect to the QRadar app container. Here is a detailed explanation:
App Container Connection: QRadar applications run in isolated containers. Administrators may need to connect to these containers for troubleshooting, management, or configuration purposes.
Recon Command: The recon command-line tool is used for managing and interacting with application containers in QRadar.
Connect Command: The specific command recon connect <app id> allows the administrator to initiate a connection to the specified application container. <app id> should be replaced with the actual application ID.
Usage: This command is typically used when an administrator needs to access the container’s environment to perform tasks such as checking logs, modifying configurations, or diagnosing issues.
This command facilitates direct access to the application container, enabling efficient management and troubleshooting.
Reference
IBM Security QRadar SIEM and IBM Security QRadar EDR integration.pdf
B
Explanation:
A QRadar administrator can use the recon connect <app id> command to connect to the QRadar app container. Here is a detailed explanation:
App Container Connection: QRadar applications run in isolated containers. Administrators may need to connect to these containers for troubleshooting, management, or configuration purposes.
Recon Command: The recon command-line tool is used for managing and interacting with application containers in QRadar.
Connect Command: The specific command recon connect <app id> allows the administrator to initiate a connection to the specified application container. <app id> should be replaced with the actual application ID.
Usage: This command is typically used when an administrator needs to access the container’s environment to perform tasks such as checking logs, modifying configurations, or diagnosing issues.
This command facilitates direct access to the application container, enabling efficient management and troubleshooting.
Reference
IBM Security QRadar SIEM and IBM Security QRadar EDR integration.pdf
Question #8
What are some of the supported custom property expression types in QRadar?
- A . Regex, RDBMS, LEEF
- B . Regex, JSON, LEEF
- C . RDBMS, JSON, HTML
- D . Regex. JSON, HTML
Correct Answer: B
B
Explanation:
IBM QRadar SIEM supports various types of custom property expressions to allow users to extract and parse data from logs in flexible and powerful ways. Among the supported custom property expression types, Regex, JSON, and LEEF are frequently utilized:
Regex (Regular Expressions): Regular expressions are a powerful tool used for pattern matching and extraction in text. In QRadar, regex can be used to create custom properties that parse specific patterns from log data, allowing for detailed and precise data extraction.
JSON (JavaScript Object Notation): JSON is a widely used data interchange format that is lightweight and easy to read and write. QRadar supports JSON expressions to parse and extract structured data from logs formatted in JSON.
LEEF (Log Event Extended Format): LEEF is a log format used by various devices to structure log data in a consistent manner. QRadar can utilize LEEF expressions to extract data from logs that use this format.
These types of expressions enhance QRadar’s ability to handle diverse log formats and enable more accurate and efficient data analysis.
Reference
IBM Security QRadar SIEM and IBM Security QRadar EDR integration.pdf
B
Explanation:
IBM QRadar SIEM supports various types of custom property expressions to allow users to extract and parse data from logs in flexible and powerful ways. Among the supported custom property expression types, Regex, JSON, and LEEF are frequently utilized:
Regex (Regular Expressions): Regular expressions are a powerful tool used for pattern matching and extraction in text. In QRadar, regex can be used to create custom properties that parse specific patterns from log data, allowing for detailed and precise data extraction.
JSON (JavaScript Object Notation): JSON is a widely used data interchange format that is lightweight and easy to read and write. QRadar supports JSON expressions to parse and extract structured data from logs formatted in JSON.
LEEF (Log Event Extended Format): LEEF is a log format used by various devices to structure log data in a consistent manner. QRadar can utilize LEEF expressions to extract data from logs that use this format.
These types of expressions enhance QRadar’s ability to handle diverse log formats and enable more accurate and efficient data analysis.
Reference
IBM Security QRadar SIEM and IBM Security QRadar EDR integration.pdf
Question #9
Which is a benefit of a lazy search?
- A . Getting results that are limited to a specific range
- B . Providing every result no matter the quantity of the search results
- C . Finding lOCs quickly
- D . Searching across domains for any configured user
Correct Answer: A
A
Explanation:
A lazy search in IBM QRadar SIEM V7.5 is designed to optimize the performance of search queries by limiting the amount of data retrieved and processed at any given time. This is particularly beneficial in environments with large datasets.
Here’s a detailed explanation:
Limited Results: Lazy searches limit the search results to a specific range, allowing users to get manageable chunks of data without overwhelming the system.
Performance Optimization: By reducing the amount of data processed in a single search, lazy searches improve query performance and reduce resource usage.
Incremental Data Retrieval: Users can incrementally retrieve more data as needed, making it easier to handle and analyze large datasets without performance degradation.
Reference
The functionality and benefits of lazy searches are detailed in the IBM QRadar SIEM V7.5 user guides, which explain how to configure and use lazy searches for efficient data retrieval and analysis.
A
Explanation:
A lazy search in IBM QRadar SIEM V7.5 is designed to optimize the performance of search queries by limiting the amount of data retrieved and processed at any given time. This is particularly beneficial in environments with large datasets.
Here’s a detailed explanation:
Limited Results: Lazy searches limit the search results to a specific range, allowing users to get manageable chunks of data without overwhelming the system.
Performance Optimization: By reducing the amount of data processed in a single search, lazy searches improve query performance and reduce resource usage.
Incremental Data Retrieval: Users can incrementally retrieve more data as needed, making it easier to handle and analyze large datasets without performance degradation.
Reference
The functionality and benefits of lazy searches are detailed in the IBM QRadar SIEM V7.5 user guides, which explain how to configure and use lazy searches for efficient data retrieval and analysis.
Question #10
In the QRadar GUI. you notice that no new offenses were generated today.
A review of the notifications shows:
MPC: Unable to create new offense. The maximum number of active offenses has been reached.
What is the default value of the maximum number?
- A . 3500
- B . 1500
- C . 5000
- D . 2500
Correct Answer: D
D
Explanation:
In IBM QRadar SIEM V7.5, the default value for the maximum number of active offenses is set to 2500. This limit is in place to manage system performance and ensure efficient processing of security incidents. Here’s the detailed information:
Default Setting: The default setting for the maximum number of active offenses is 2500.
Impact: If this limit is reached, QRadar will not generate new offenses until some of the existing offenses are closed or archived.
Configuration: Administrators can adjust this setting based on their organizational needs, but the default value is 2500.
Reference
This information is detailed in the QRadar SIEM configuration and tuning guides, which specify default settings and provide instructions for modifying the maximum number of active offenses if necessary.
D
Explanation:
In IBM QRadar SIEM V7.5, the default value for the maximum number of active offenses is set to 2500. This limit is in place to manage system performance and ensure efficient processing of security incidents. Here’s the detailed information:
Default Setting: The default setting for the maximum number of active offenses is 2500.
Impact: If this limit is reached, QRadar will not generate new offenses until some of the existing offenses are closed or archived.
Configuration: Administrators can adjust this setting based on their organizational needs, but the default value is 2500.
Reference
This information is detailed in the QRadar SIEM configuration and tuning guides, which specify default settings and provide instructions for modifying the maximum number of active offenses if necessary.