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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
  • 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
  • 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
  • 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.

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q26-Q31):

NEW QUESTION # 26
Refer to the exhibit.

A FortiSIEM device is receiving syslog events from a FortiGate firewall. The FortiSIEM analyst is trying to search the raw event logs for the last two hours that contain the keyword "udp".
However, they are getting no results from the search, which they know should be available.
Based on the filter shown in the exhibit, why are there no search results?

Answer: B

Explanation:
The operator is set to "=", which performs an exact match on the entire raw event log, not a substring search. To find logs that contain the keyword "udp", the analyst should use the CONTAIN operator instead. This will return all logs where "udp" appears anywhere in the raw log message.


NEW QUESTION # 27
Refer to the exhibit.

A FortiSIEM device is receiving syslog events from a FortiGate firewall. The FortiSIEM analyst is trying to search the raw event logs for the last two hours that contain the keyword "udp". However, they are getting no results from the search, which they know should be available. Based on the filter shown in the exhibit, why are there no search results?

Answer: B

Explanation:
The operator is set to "=", which performs an exact match on the entire raw event log, not a substring search. To find logs that contain the keyword "udp", the analyst should use the CONTAIN operator instead. This will return all logs where "udp" appears anywhere in the raw log message.


NEW QUESTION # 28
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: C

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 # 29
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 # 30
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: B

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 # 31
......

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