C1000-162 Sample Questions Answers

By default, QRadar stores payload indexes for a duration of 30 days. This retention period is configurable, allowing administrators to adjust how long specific data is retained based on their requirements​​.

While the options could be more clearly phrased, here's why these answers are likely correct:

• Report Content: QRadar reports visualize security data. These types fit:

• Time Series Charts in QRadar: Time series charts visualize how event or flow data changes over time. They are primarily used to spot trends and anomalies.
• Interactivity: QRadar's time series charts allow zooming, panning, and hovering to see specific data points. This helps analysts drill down into patterns.
• Search-Based: Time series charts always reflect the results of a search query. Changing the time range or refining the search alters the chart.

Inaccurate Statements

• A. Static time series: QRadar's charts are not static; the interactivity is key.
• C & D. Export Time: These focus on data export, which isn't directly related to the nature of time series charts themselves.

References

• IBM QRadar Documentation - Time Series Charts: https://www.ibm.com/docs/en/qradar-common?topic=pulse-aggregating-data-create-time-series-chart

The Application Overview dashboard in QRadar includes various default items1. Two of these items are Top Applications (Total Bytes) and Outbound Traffic by Country (Total Bytes)1.

Default dashboards - IBM Documentation

According to the IBM Security QRadar SIEM V7.5 documentation, the Application Overview dashboard by default includes items such as "Inbound Traffic by Country (Total Bytes)," "Outbound Traffic by Country (Total Bytes)," and "Top Applications (Total Bytes)" among others. This confirms that options C and D are displayed by default on the Application Overview dashboard​​.

• Offense Summary Window: The Offense Summary window provides detailed information about a specific offense.
• Display Menu: Within this window, the "Display" menu offers options to customize what information is shown.
• Rules Option: Selecting "Display > Rules" will reveal a list of rules that contributed to the chained offense sequence.

References

• IBM QRadar Documentation - Offense Summary: [invalid URL removed]
• IBM QRadar Documentation: Offense Chaining https://www.ibm.com/docs/en/qsip/7.4?topic=management-offense-chaining

Selecting "False Positive" from the right-click menu in the Log Activity tab opens a window that enables users to tune out events that are known to be false positives, preventing them from generating offenses. This feature is crucial for minimizing noise and focusing on genuine threats, thereby enhancing the efficiency of threat detection and response processes within QRadar​​.

• IOCs and Reference Sets: Reference sets are specifically designed to store lists of Indicators of Compromise (IOCs) like IP addresses, domain names, file hashes, etc.
• Correlation and Matching: QRadar can match events and flows against data in reference sets, triggering rules or alerts when suspicious activity is detected.

In the Dynamic Search window on the Admin tab of QRadar, the available data sources include "Assets" and "Offenses." These options allow administrators and analysts to construct queries based on asset information or offense data, enabling targeted searches and analyses tailored to specific security concerns within the organization​​.

The "Start Time" timestamp represents when an event is received by a QRadar Event Collector, marking the moment QRadar first becomes aware of the event. This is crucial for understanding the timing of event processing and potential delays in the event pipeline​​.

• Magnitude:The Magnitude metric in QRadar represents a calculated severity or importance score assigned to an offense. Here's how it helps:

• Pie Chart Logic: Pie charts represent proportions of a whole.expand_more QRadar Pulse supports the following aggregations suitable for this:

In IBM Security QRadar SIEM, building blocks are utilized to categorize assets and server types into CIDR/IP ranges to either exclude or include entire asset categories in rule tests. The most suitable type of building block for this purpose is the "Host definition". This type of building block allows administrators to define groups of IP addresses, often in CIDR notation, to represent different parts of the network, such as specific servers, subnets, or entire network segments. By doing so, rules can be crafted to apply only to traffic involving these defined hosts, thereby including or excluding specific asset categories from rule tests based on their network location or role within the organization​​.

Rules that have tests against both event and flow data in QRadar are typically known as "Anomaly rules." These rules are designed to detect unusual or unexpected patterns of activity that deviate from the norm, which can be indicative of security threats. By analyzing both event data (which could include log entries, system alerts, etc.) and flow data (which represents network traffic), anomaly rules can provide a comprehensive view of potential security incidents, identifying anomalies that might not be evident when looking at event or flow data in isolation.

Here's why an AQL statement will default to running for 5 minutes:

• Timeout Protection: QRadar implements timeouts to prevent queries from running indefinitely and potentially overloading the system.
• Default Timeout: If no explicit time criteria is specified, the standard timeout in QRadar is 5 minutes.exclamation
• Modifying Timeouts: Advanced users can change this default, but it requires modification of QRadar configuration settings.

To search offense data on the By Networks page, an analyst can use the options "Events/Flows" to filter based on the types of data points, and "Network" to specify the network they want to search for. This allows for a focused search on specific networks and types of data​​​​.

When deleting a generated content report in QRadar, all reports that were generated from the report template are deleted, but the report template itself is retained. This ensures that the structure for generating future reports remains intact, while only the instances of reports generated from that template are removed​​.

Within IBM Security QRadar's Ariel Query Language (AQL), functions play a crucial role in manipulating data, performing calculations, and formatting results for more insightful analysis. Among the options provided, "LOWER" (C) and "STRLEN" (D) are valid AQL functions used for formatting and calculations, respectively. The "LOWER" function is used to convert a string to lowercase, which can be useful for case-insensitive comparisons or data normalization. The "STRLEN" function calculates the length of a string, providing valuable information about the data content, such as detecting unusually long or short values that might indicate anomalies or issues within the event or flow data .

In IBM Security QRadar SIEM V7.5, to search for all events containing a specific keyword such as "access", an analyst should navigate to the "Log Activity" tab. This section of the QRadar interface is dedicated to viewing and analyzing log data collected from various sources. By running a quick search with the "access" keyword in the Log Activity tab, the analyst can filter out events that contain this term in any part of the log data. This functionality is crucial for identifying specific activities or incidents within the vast amounts of log data QRadar processes, allowing analysts to quickly hone in on relevant information for further investigation or action.

In IBM Security QRadar SIEM V7.5, the feature that utilizes existing asset profile data to define unknown server types and assign them to server definitions in building blocks and in the network hierarchy is known as "Server Discovery." This feature grants permission to discover servers, thereby enabling administrators to identify and classify various server types within their network infrastructure, enhancing the overall asset management and security posture​​.

Indexed custom event properties in IBM Security QRadar SIEM are designed to optimize the search process by narrowing down the overall data set. When a property is indexed, QRadar can more efficiently locate events or flows that match the search criteria, thereby reducing the overall volume of data that needs to be searched and enhancing performance. This is reflected in statement B, where indexed filters eliminate portions of the data set that are not relevant to the search query, effectively reducing the number of event or flow logs that must be examined .

Moreover, the use of indexed event and flow properties for optimizing searches is a recommended practice in QRadar. By selectively indexing properties that are frequently used in searches, analysts can significantly improve the speed and efficiency of their queries. This approach is beneficial in environments where quick access to specific event or flow data is crucial for timely threat detection and response. Therefore, statement Ehighlights the importance of utilizing indexed properties to streamline the search process and facilitate more effective security analytics .

In the Reports tab of QRadar, the message "Queued (position in the queue)" indicates that the report is queued for generation. The message provides the position of the report within the generation queue, which helps users understand the report's status and expected generation time​

When a security analyst needs to filter events based on the time they occurred on the endpoints, the most relevant parameter to use is "Log Source Time." This parameter reflects the original timestamp of an event as recorded by the log source, providing the actual time when the eventtook place on the endpoint, regardless of when the event was received or processed by QRadar. This is crucial for accurate temporal analysis of events, ensuring that the timing of activities is correctly aligned with the actual occurrence on the devices or systems generating the logs.

A Quick filter search in IBM Security QRadar SIEM operates on raw event or flow data. This type of search allows users to rapidly filter through large volumes of data to find specific events or flows of interest without the need for complex query syntax. Quick filter searches are particularly useful for conducting initial analyses or when looking for specific indicators within the raw data streams. The ability to search directly on raw event or flow data enables analysts to work with the most granular level of information available, facilitating detailed investigations and the identification of subtle patterns or anomalies that might indicate security issues .

• Vulnerability Scans and Offenses: VA scanners frequently trigger alerts as their activity can resemble malicious behavior.
• Host Definitions: This QRadar building block group helps define known hosts, including their attributes and roles on the network.
• Adding to Definitions: Including the VA scanner's IP in the host definitions allows QRadar to recognize it and properly categorize its activity.

When an analyst right-clicks on the Source IP or Destination IP that is associated with an offense at the Offense Summary in QRadar, two of the top-level options are DNS Lookup and WHOIS Lookup1. These options provide additional information about the IP address, such as its domain name (DNS Lookup) and registration information (WHOIS Lookup)1.