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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 (Q51-Q56):

NEW QUESTION # 51
Where must you define and assign a custom python script as a remediation action?

Answer: C

Explanation:
A custom Python script used as a remediation action must be defined and assigned within an Automation Policy in FortiSIEM. The automation policy framework allows you to configure triggers, select incidents or rules that activate the script, and define how the Python script executes automatically to remediate detected issues.


NEW QUESTION # 52
When configuring anomaly detection machine learning, in which step must you select the fields to analyze?

Answer: A

Explanation:
In the Prepare Data step of configuring anomaly detection in FortiSIEM, you must select the fields to analyze. This step defines the input features that the machine learning model will evaluate during training and detection.


NEW QUESTION # 53
In an automation policy, which two methods can you use to notify analysts when an incident is triggered? (Choose two.)

Answer: A,B

Explanation:
In FortiSIEM automation policies, analysts can be notified of triggered incidents through FortiSIEM Case (which creates and assigns a case for follow-up) and Email notifications (which send alerts directly to recipients). These methods ensure prompt awareness and response to security events.


NEW QUESTION # 54
Refer to the exhibit.

The configuration shown in the exhibit is incorrect.
What must you change to allow this configuration to be successfully applied to FortiSIEM?

Answer: C

Explanation:
The Run Mode is set to Local, which is not valid for training machine learning models in FortiSIEM. To apply this configuration correctly, the Run Mode must be set to ML, which enables proper model training and prediction using selected fields.


NEW QUESTION # 55
Refer to the exhibit. What does the Define Condition time field determine for this rule?

Answer: A


NEW QUESTION # 56
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