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Fortinet FCP_FSM_AN-7.2 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Rules and subpatterns: This section of the exam measures the skills of SOC Engineers and focuses on the construction and implementation of analytics rules. It involves identifying the different components that make up a rule, utilizing advanced features like subpatterns and aggregation, and practically configuring these rules within the FortiSIEM platform to detect security events.
Topic 2
  • Incidents, notifications, and remediation: This section of the exam measures the skills of Incident Responders and encompasses the entire incident management lifecycle. This includes the skills required to manage and prioritize security incidents, configure policies for alert notifications, and set up automated remediation actions to contain and resolve threats.
Topic 3
  • Analytics: This section of the exam measures the skills of Security Analysts and covers the foundational techniques for building and refining queries. It focuses on creating searches from events, applying grouping and aggregation methods, and performing various lookup operations, including CMDB and nested queries to effectively analyze and correlate data.
Topic 4
  • Machine learning, UEBA, and ZTNA: This section of the exam measures the skills of Advanced Security Architects and covers the integration of modern security technologies. It involves performing configuration tasks for machine learning models, incorporating UEBA (User and Entity Behavior Analytics) data into rules and dashboards for enhanced threat detection, and understanding how to integrate ZTNA (Zero Trust Network Access) principles into security operations.

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q45-Q50):

NEW QUESTION # 45
Refer to the exhibit.

What will happen when a device being analyzed by the machine learning configuration shown in the exhibit has a consistently high memory utilization?

Answer: B

Explanation:
In the configuration shown, FortiSIEM uses Memory Util, Sent Bytes, and Received Bytes as input features to predict CPU Utilization via a regression model. If a device shows consistently high memory utilization, the model will incorporate that into its training data and update itself with a higher average value for memory utilization, influencing future CPU utilization predictions.


NEW QUESTION # 46
Which statement about thresholds is true?

Answer: B


NEW QUESTION # 47
Which two data areas can you use for user and entity behavior analytics (UEBA) machine learning models? (Choose two.)

Answer: C,D

Explanation:
FortiSIEM's UEBA models analyze user and entity behavior by correlating data such as location (for detecting unusual logins or access patterns) and network activity (for identifying abnormal communication or traffic behaviors). These data areas enable the system to build baseline profiles and detect anomalies indicating potential insider threats or compromised accounts.


NEW QUESTION # 48
Which two settings must you configure to allow FortiSIEM to apply tags to devices in FortiClient EMS? (Choose two.)

Answer: A,B

Explanation:
To allow FortiSIEM to apply tags to devices in FortiClient EMS, FortiEMS API credentials must be defined on FortiSIEM to enable communication with EMS, and FortiSIEM API credentials must be defined on FortiEMS to allow EMS to accept tagging instructions from FortiSIEM. This bidirectional API trust is essential for tag application.


NEW QUESTION # 49
Refer to the exhibit. Which value would be saved as the Event Type attribute by the default FortiSIEM parser?

Answer: D

Explanation:
In FortiSIEM, the Event Type attribute is derived from the value preceding the colon in the raw message header. In this case, the raw message begins with [PH_DEV_MON_SYS_UPTIME], so the parser assigns PH_DEV_MON_SYS_UPTIME as the Event Type. This identifies the event as a system uptime monitoring message.


NEW QUESTION # 50
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