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Fortinet NSE5_FSM-6.3 exam covers various topics related to FortiSIEM deployment, configuration, administration, and troubleshooting. These topics include understanding FortiSIEM architecture, configuring data sources, creating and managing policies, generating reports, and using advanced features such as correlation rules, event enrichment, and machine learning. Passing the Fortinet NSE5_FSM-6.3 exam demonstrates that a network security professional has the skills and knowledge required to deploy and manage FortiSIEM solutions effectively, which is essential for protecting an organization's IT infrastructure from cyber threats.

To prepare for the Fortinet NSE5_FSM-6.3 Certification Exam, you can take advantage of various training resources offered by Fortinet, including instructor-led courses, self-paced courses, and virtual labs. These resources cover all the topics that are covered in the exam and provide hands-on experience in deploying and managing FortiSIEM in different scenarios. Additionally, you can also participate in the Fortinet NSE Certification Program, which offers a comprehensive training and certification path for network security professionals.

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NSE5_FSM-6.3 Questions - NSE5_FSM-6.3 Free Sample Questions

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Fortinet NSE 5 - FortiSIEM 6.3 Sample Questions (Q52-Q57):

NEW QUESTION # 52
Which database is used for storing anomaly data, that is calculated for different parameters, such as traffic and device resource usage running averages, and standard deviation values?

A. SVN DB
B. Profile DB
C. CMDB
D. Event DB

Answer: B

Explanation:
* Anomaly Data Storage: Anomaly data, including running averages and standard deviation values for different parameters such as traffic and device resource usage, is stored in a specific database.
* Profile DB: The Profile DB is used to store this type of anomaly data.
Function: It maintains statistical profiles and baselines for monitored parameters, which are used to detect anomalies and deviations from normal behavior.
* Significance: Storing anomaly data in the Profile DB allows FortiSIEM to perform advanced analytics and alerting based on deviations from established baselines.
* Reference: FortiSIEM 6.3 User Guide, Database Architecture section, which describes the purpose and contents of the Profile DB in storing anomaly and baseline data.

NEW QUESTION # 53
In the advanced analytical rules engine in FortiSIEM, multiple subpatterms can be referenced using which three operation?(Choose three.)

A. AND
B. FOLLOWED_BY
C. OR
D. NOT
E. ELSE

Answer: A,B,C

Explanation:
Advanced Analytical Rules Engine: FortiSIEM's rules engine allows for complex event correlation using multiple subpatterns.
Operations for Referencing Subpatterns:
* FOLLOWED_BY: This operation is used to indicate that one event follows another within a specified time window.
* OR: This logical operation allows for the inclusion of multiple subpatterns, where the rule triggers if any of the subpatterns match.
* AND: This logical operation requires all referenced subpatterns to match for the rule to trigger.
Usage: These operations allow for detailed and precise event correlation, helping to detect complex patterns and incidents.
References: FortiSIEM 6.3 User Guide, Advanced Analytics Rules Engine section, which explains the use of different operations to reference subpatterns in rules.

NEW QUESTION # 54
An administrator is using SNMP and WMI credentials to discover a Windows device. How will the WMI method handle this?

A. WMI method will collect only traffic and IIS logs.
B. WMI method will collect security, application, and system events logs.
C. WMI method will collect only DHCP logs.
D. WMI method will collect only DNS logs.

Answer: B

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

NEW QUESTION # 55
A FortiSIEM administrator wants to restrict a network administrator to running searches for only firewall devices.
Under role management, which option does the FortiSIEM administrator need to configure to achieve this scenario?

A. Data Conditions
B. CMDB Report Conditions
C. UI Access

Answer: A

NEW QUESTION # 56
Which process converts raw log data to structured data?

A. Data enrichment
B. Data validation
C. Data parsing
D. Data classification

Answer: C

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 # 57
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