NSE5_FSM-6.3 Exam Dumps : Fortinet NSE 5 - FortiSIEM 6.3

 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.

 References: FortiSIEM 6.3 User Guide, Data Collection Methods section, which details the use of WMI for collecting event logs from Windows devices.

 Device Status in FortiSIEM: FortiSIEM assigns different statuses to devices based on their operational state and performance metrics.

 Packet Loss Impact: The reported packet loss percentage directly influences the status assigned to a device. Packet loss between 50% and 98% indicates significant network issues that affect the device's performance.

 Degraded Status: When packet loss is between 50% and 98%, FortiSIEM assigns a "Degraded" status to the device. This status indicates that the device is experiencing substantial packet loss, which impairs its performance but does not render it completely non-functional.

 Reasoning: The "Degraded" status helps administrators identify devices with serious performance issues that need attention but are not entirely down.

 References: FortiSIEM 6.3 User Guide, Device Availability and Status section, explains the criteria for assigning different statuses based on performance metrics such as packet loss.

 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.