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Fortinet NSE 5 - FortiSIEM 6.3 Sample Questions (Q22-Q27):
NEW QUESTION # 22
Which process converts raw log data to structured data?
Answer: A
Explanation:
* Raw Log Data: When devices send logs to FortiSIEM, the data arrives in a raw, unstructured format.
* Data Parsing Process: The process that converts this raw log data into a structured format is known as data parsing.
Data Parsing: This involves extracting relevant fields from the raw log entries and organizing them into a structured format, making the data usable for analysis, reporting, and correlation.
* Significance of Structured Data: Structured data is essential for effective event correlation, alerting, and generating meaningful reports.
* Reference: FortiSIEM 6.3 User Guide, Data Parsing section, which details how raw log data is transformed into structured data through parsing.
NEW QUESTION # 23
An administrator is using SNMP and WMI credentials to discover a Windows device. How will the WMI method handle this?
Answer: D
Explanation:
* WMI Method: Windows Management Instrumentation (WMI) is a set of specifications from Microsoft for consolidating the management of devices and applications in a network.
* Log Collection: WMI is used to collect various types of logs from Windows devices.
Security Logs: Contains records of security-related events such as login attempts and resource access.
Application Logs: Contains logs generated by applications running on the system.
System Logs: Contains logs related to the operating system and its components.
* Comprehensive Data Collection: By using WMI, FortiSIEM can gather a wide range of event logs that are crucial for monitoring and analyzing the security and performance of Windows devices.
* Reference: FortiSIEM 6.3 User Guide, Data Collection Methods section, which details the use of WMI for collecting event logs from Windows devices.
NEW QUESTION # 24
Refer to the exhibit.
If events are grouped by User. Source IP. and Application Category attributes in FortiSiEM. how many results will be displayed?
Answer: D
Explanation:
* Grouping Events in FortiSIEM: Grouping events by specific attributes allows for the aggregation of similar events, providing clearer insights and reducing clutter.
* Grouping Criteria: For this question, events are grouped by "User," "Source IP," and "Application Category."
* Unique Combinations Analysis:
Ryan, 1.1.1.1, Web App (appears multiple times but is one unique combination) John, 5.5.5.5, DB Paul, 3.3.2.1, Web App Ryan, 1.1.1.15, DB Wendy, 1.1.1.6, DB
* Result Calculation: There are five unique combinations in the provided data based on the specified grouping attributes.
* Reference: FortiSIEM 6.3 User Guide, Event Management and Reporting sections, which explain how to group events by various attributes for analysis and reporting purposes.
NEW QUESTION # 25
An administrator wants to search for events received from Linux and Windows agents.
Which attribute should the administrator use in search filters, to view events received from agents only.
Answer: C
Explanation:
Search Filters in FortiSIEM: When searching for specific events, administrators can use various attributes to filter the results.
Attribute for Agent Events: To view events received specifically from Linux and Windows agents, the attributeExternal Event Receive Agentsshould be used.
* Function: This attribute filters events that are received from agents, distinguishing them from events received through other protocols or sources.
Search Efficiency: Using this attribute helps the administrator focus on events collected by FortiSIEM agents, making the search results more relevant and targeted.
References: FortiSIEM 6.3 User Guide, Event Search and Filters section, which describes the available attributes and their usage for filtering search results.
NEW QUESTION # 26
Which process converts raw log data to structured data?
Answer: A
Explanation:
Raw Log Data: When devices send logs to FortiSIEM, the data arrives in a raw, unstructured format.
Data Parsing Process: The process that converts this raw log data into a structured format is known as data parsing.
* Data Parsing: This involves extracting relevant fields from the raw log entries and organizing them into
* a structured format, making the data usable for analysis, reporting, and correlation.
Significance of Structured Data: Structured data is essential for effective event correlation, alerting, and generating meaningful reports.
References: FortiSIEM 6.3 User Guide, Data Parsing section, which details how raw log data is transformed into structured data through parsing.
NEW QUESTION # 27
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