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IBM C1000-156 Exam Questions
- IBM Certified Administrator Certifications
- IBM Security QRadar SIEM V7.5 Certifications
- Topic 1: System Configuration: This topic discusses license management, administration of managed hosts, distributed architecture, data backups, and email templates.
- Topic 2: Performance Optimization: It focuses on index management, search management, routing rules, event forwarding, and dealing with resource restrictions.
- Topic 3: Data Source Configuration: The topic delves into flow sources, log sources, data obfuscation, custom log source types, custom events, and flow properties.
- Topic 4: Accuracy Tuning: This topic addresses sub-topics of Anomaly Detection Engine rules, building blocks, content packs, and integrations.
- Topic 5: User Management: It covers the management of users, security profiles of users, user roles, and user authentication.
- Topic 6: Reporting, Searching, and Offense Management: This topic discusses the management of reports, the management of offenses, and the utilization of different search types.
- Topic 7: Tenants and Domains: It discusses the management of domains and tenants, allocation of licenses for multi-tenant, and assigning users to tenants.
- Topic 8: Troubleshooting: This topic focuses on common documented issues, healthchecks, GUI REST-API usage, and responding to system notifications.
Free IBM C1000-156 Exam Actual Questions
Note: Premium Questions for C1000-156 were last updated On Aug. 21, 2026 (see below)
To detect outliers, which Anomaly Detection Engine rule tests events or flows for volume changes that occur in regular patterns?
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.
Which profile database does the Server Discovery function use to discover several types of servers on a network?
The Server Discovery function in IBM QRadar SIEM V7.5 uses the Asset Profile Database to discover various types of servers on a network. This database stores detailed information about the assets, including server types, configurations, and roles within the network. Here's how it works:
Asset Profile Database: This is the central repository that contains all the discovered asset information.
Discovery Process: During the discovery process, QRadar scans the network to identify servers and other devices, collecting information such as IP addresses, open ports, services, and operating systems.
Classification: The collected data is then analyzed and classified, updating the Asset Profile Database with the types of servers discovered.
Reference IBM QRadar SIEM documentation specifies the use of the Asset Profile Database for server discovery functionalities and provides details on configuring and managing asset profiles.
What is the default day and time setting for when QRadar generates weekly reports?
In IBM QRadar SIEM V7.5, the default setting for generating weekly reports is configured to occur on:
Day: Sunday
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.
An administrator receives a file with all the vital assets in the company and wants to import this file into QRadar. How must this import file be formatted?
When importing vital asset information into IBM QRadar SIEM V7.5, the import file must be formatted as a CSV file with the following structure:
Format: CSV (Comma-Separated Values)
Fields: The required fields are IP address, Name, Weight, and Description.
IP address: The IP address of the asset.
Name: The name of the asset.
Weight: A numerical value representing the importance or criticality of the asset.
Description: A brief description of the asset.
This format ensures that QRadar can correctly parse and import the asset information, integrating it into its asset database for further analysis and correlation.
Reference IBM QRadar SIEM documentation provides guidelines on the required CSV format for importing asset information, detailing the necessary fields and their order.
How can you configure a log source to provide events to different domains?
To configure a log source in IBM QRadar SIEM V7.5 to provide events to different domains, administrators can use custom properties. Here's how it works:
Custom Properties: Create and configure custom properties to tag events with specific domain information.
Assigning Events: When events are ingested from a log source, these custom properties can be used to dynamically assign events to different domains based on predefined criteria.
Domain Management: This approach allows flexibility in managing and segregating data from a single log source across multiple domains, ensuring that each domain receives the relevant events.
Reference The configuration of custom properties for domain assignment is detailed in the QRadar SIEM administration guides, providing step-by-step instructions for setting up and using custom properties for domain management.
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