NSE5_FSM-6.3 Sample Questions Answers

 Data Collection Status: FortiSIEM displays various icons to indicate the status of data collection for different devices.

 Pause Icon: The pause icon specifically indicates that data collection is paused, but this can happen due to several reasons.

 Common Cause for Pausing: One common cause for pausing data collection is an issue such as a change of password, which prevents the system from authenticating and collecting data.

 Exhibit Analysis: In the provided exhibit, the presence of the pause icon next to the device suggests that data collection has encountered an issue that has caused it to pause.

 References: FortiSIEM 6.3 User Guide, Device Management and Data Collection Status Icons section, which explains the different icons and their meanings.

 License Renewal Process: When renewing a FortiSIEM license, it is essential to provide the system ID, which uniquely identifies the FortiSIEM instance.

 Commands to Retrieve System ID:

phgetHWID: This command retrieves the hardware ID of the FortiSIEM appliance.

Usage: Run the commandphgetHWIDin the CLI to obtain the hardware ID.

phgetUUID: This command retrieves the universally unique identifier (UUID) for the FortiSIEM system.

Usage: Run the commandphgetUUIDin the CLI to obtain the UUID.

 Verification: BothphgetHWIDandphgetUUIDare valid commands for retrieving the necessary system IDs required for license renewal.

 References: FortiSIEM 6.3 Administration Guide, Licensing section details the commands and procedures for obtaining system identification information necessary for license renewal.

 FortiSIEM Linux Agent: The FortiSIEM Linux agent is used to collect logs and performance metrics from Linux servers and send them to the FortiSIEM system.

 Prerequisite for Installation: Theauditdservice, which is the Linux Audit Daemon, must be installed and running on the Linux server to capture and log security-related events.

auditd Service: This service collects and logs security events on Linux systems, which are essential for monitoring and analysis by FortiSIEM.

 Importance of auditd: Without the auditd service, the FortiSIEM Linux agent will not be able to collect the necessary event data from the Linux server.

 References: FortiSIEM 6.3 User Guide, Linux Agent Installation section, which lists the prerequisites and steps for installing the FortiSIEM Linux agent.

 Anomaly Baseline Data: Anomaly baseline data refers to the statistical profiles and baselines calculated for various parameters to detect deviations indicative of potential security incidents.

 Profile DB: The Profile DB is specifically designed to store such baseline data in FortiSIEM.

Purpose: It maintains statistical profiles for different monitored parameters to facilitate anomaly detection.

Usage: This data is used by FortiSIEM to compare real-time metrics against the established baselines to identify anomalies.

 References: FortiSIEM 6.3 User Guide, Database Architecture section, which describes the different databases used in FortiSIEM and their purposes, including the Profile DB for storing anomaly baseline data.

 Incident Management in FortiSIEM: FortiSIEM tracks incidents and their occurrences to help administrators manage and respond to recurring issues.

 Performance Rule Triggering: When a performance rule, such as one for high CPU usage, is repeatedly triggered, FortiSIEM updates the corresponding incident rather than creating a new one each time.

 Incident Table Updates:

Incident Count: The Incident Count value increases each time the rule is triggered, indicating how many times the incident has occurred.

First Seen and Last Seen Times: These timestamps are updated to reflect the first occurrence and the most recent occurrence of the incident.

 References: FortiSIEM 6.3 User Guide, Incident Management section, explains how FortiSIEM handles recurring incidents and updates the incident table accordingly.

 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.

 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.

 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.

 References: FortiSIEM 6.3 User Guide, Event Management and Reporting sections, which explain how to group events by various attributes for analysis and reporting purposes.

 Incident Status in FortiSIEM: The status of an incident indicates its current state and helps administrators track and manage incidents effectively.

 Cleared Status: When an incident’s status is "Cleared," it means that a specific condition set to clear the incident has been satisfied.

Clear Condition: This is typically a predefined condition that indicates the issue causing the incident has been resolved or no longer exists.

 Automatic vs. Manual Clearance: While some incidents may be cleared automatically based on clear conditions, others might be manually cleared by an operator.

 References: FortiSIEM 6.3 User Guide, Incident Management section, detailing the various incident statuses and the conditions that lead to an incident being marked as "Cleared."

 Syslog Configuration in FortiSIEM: For FortiSIEM to receive syslog messages from network devices, those devices need to be properly configured to send syslog data to FortiSIEM.

 Manual Configuration Requirement: FortiSIEM does not automatically configure network devices to send syslog messages. Instead, this configuration must be performed manually by the network administrator.

 Process Overview: The network administrator must access each device and set up the syslog parameters to direct log data to the FortiSIEM collector's IP address.

 Discovery Process: While FortiSIEM can discover network devices using SNMP, WMI, and other protocols, the configuration of syslog on these devices is beyond its scope and requires manual intervention.

 References: FortiSIEM 6.3 User Guide, Device Configuration and Syslog Integration sections, which explain the requirements and steps for setting up syslog forwarding on network devices.

 Feature Overview: FortiSIEM provides several tools for querying and reporting on device information within an environment.

 Inventory Tab: The Inventory tab is specifically designed to display detailed information about devices, including their firmware versions.

 Query Functionality: Within the Inventory tab, you can run queries to filter and display devices based on specific attributes, such as the firmware version for FortiGate devices.

 Report Generation: By running a query in the Inventory tab, you can produce a report that lists the FortiGate devices and their corresponding firmware versions.

 References: FortiSIEM 6.3 User Guide, Inventory Management section, explains how to use the Inventory tab to query and report on device attributes.