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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
  • 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 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 (Q62-Q67):

NEW QUESTION # 62
What must you configure to apply ZTNA tags from FortiSIEM to devices in FortiClient EMS?

Answer: D


NEW QUESTION # 63
Refer to the exhibit.

The exhibit shows the configuration for a machine learning dataset using anomaly detection.
If the report generating the data being analyzed is run every hour, how long must the FortiSIEM device be up before a valid training set can be produced?

Answer: B

Explanation:
The Window parameter specifies the number of report intervals required to build a valid training set. Since the report runs every hour and the window is set to 10, FortiSIEM needs 10 data intervals (10 hours) of operation to collect sufficient data for training the anomaly detection model.


NEW QUESTION # 64
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 # 65
You need a model for predicting a target field based on other fields in a dataset and then trigger an anomaly if the value does not match the prediction. Which machine learning algorithm will build this type of model?

Answer: D


NEW QUESTION # 66
Refer to the exhibit. If you group the events by Reporting IP, Event Type, and User attributes, how many results will FortiSIEM display?

Answer: A

Explanation:
When grouped by Reporting IP, Event Type, and User, FortiSIEM consolidates rows sharing the same values for these attributes.
Reporting IP: all are 10.1.1.1
Event Type: all are Logon
Users: Mike, Bob, and Alice
Thus, FortiSIEM will display three results, one for each user.


NEW QUESTION # 67
......

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