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Fortinet FCP_FSM_AN-7.2 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 4
  • 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.

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q60-Q65):

NEW QUESTION # 60
From which two sources can you import data to train FortiSIEM machine learning? (Choose two.)

Answer: B,D


NEW QUESTION # 61
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 # 62
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: A

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 # 63
How does FortiSIEM update the incident table if a performance rule triggers repeatedly?

Answer: D

Explanation:
When a performance rule triggers repeatedly, FortiSIEM updates the existing incident by incrementing the Incident Count and refreshing the Last Seen timestamp. This avoids flooding the incident table with duplicates while still tracking repeated occurrences.


NEW QUESTION # 64
Refer to the exhibit. What will FortiSIEM display if you apply the Group By and Display Fields configuration to a list of allowed firewall connections?

Answer: A

Explanation:
With Source IP and Destination IP as grouping attributes, and COUNT(Matched Events) included, FortiSIEM will display a list of unique source-destination IP pairs along with the number of allowed connections between each pair. This configuration summarizes connection activity by unique communication paths.


NEW QUESTION # 65
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