Free Fortinet NSE5_FSM-6.3 Practice Exam with Questions & Answers | Set: 2

 Grouping Events in FortiSIEM: Grouping events by specific attributes allows administrators to aggregate and analyze data more efficiently.

 Grouping Criteria: In this case, the events are grouped by "Event Type" and "User" attributes.

 Unique Combinations: To determine the number of results displayed, identify the unique combinations of the "Event Type" and "User" attributes in the provided data.

Failed Logon by Ryan(appears multiple times but is one unique combination)

Failed Logon by John

Failed Logon by Paul

Failed Logon by Wendy

 Unique Groupings: There are four unique groupings based on the given data: "Failed Logon" by "Ryan", "John", "Paul", and "Wendy".

 References: FortiSIEM 6.3 User Guide, Event Management and Reporting sections, which explain how events are grouped and reported based on selected attributes.

 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.

 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.

 Disaster Recovery (DR) Implementation: For FortiSIEM to effectively support disaster recovery, specific requirements must be met to ensure seamless failover and data integrity.

 Layer 2 Connectivity: One of the critical requirements for implementing FortiSIEM DR is that the two supervisor nodes must have layer 2 connectivity.

Layer 2 Connectivity: This ensures that the supervisors can communicate directly at the data link layer, which is necessary for synchronous data replication and other DR processes.

 Importance of Connectivity: Layer 2 connectivity between the supervisor nodes ensures that they can maintain consistent and up-to-date state information, which is essential for a smooth failover in the event of a disaster.

 References: FortiSIEM 6.3 Administration Guide, Disaster Recovery section, which details the requirements and configurations needed for setting up disaster recovery, including the necessity for layer 2 connectivity between supervisor nodes.

 Expression Builder in FortiSIEM: The Expression Builder is used to create expressions for analyzing event data.

 Correct Syntax: The correct syntax for counting matched events isCOUNT(Matched Events).

Function:COUNTis a function that takes a parameter, in this case, "Matched Events," to count the number of occurrences.

 Common Errors: Incorrect syntax, such as reversing the order or using parentheses improperly, can lead to invalid expressions.

 References: FortiSIEM 6.3 User Guide, Expression Builder section, which explains the correct syntax and usage for creating valid expressions for event analysis.