C1000-156 Exam Dumps : IBM Security QRadar SIEM V7.5 Administration

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.

ReferencesThe 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.

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.

ReferencesThis 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.

To optimize event and flow payload searches for log data stored for up to a month, an administrator should configure the retention period for payload indexes. Here’s the process:

Retention Period Configuration: Set the retention period for payload indexes to match the desired data storage duration (e.g., one month).

Improved Search Efficiency: By configuring the retention period appropriately, QRadar ensures that the indexed data is efficiently searchable, improving performance during searches.

Index Management: Regularly manage and clean up indexes to maintain optimal system performance and storage utilization.

ReferencesThe IBM QRadar SIEM administration guides provide instructions on configuring retention periods for various types of indexes, including payload indexes, to optimize search performance.