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Fortinet FCP_FSM_AN-7.2 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.

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Fortinet FCP - FortiSIEM 7.2 Analyst Sample Questions (Q29-Q34):

NEW QUESTION # 29
Refer to the exhibit.

What happens when an analyst clears an incident generated by a rule containing the automation policy shown in the exhibit?

Answer: C

Explanation:
The automation policy has the option "Do not notify when an incident is cleared manually" enabled. Therefore, when an analyst manually clears an incident, no notification or automation action is triggered.


NEW QUESTION # 30
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

Explanation:
A Regression algorithm is used when predicting a continuous or numeric target field based on other features in the dataset. In FortiSIEM, regression-based machine learning models establish expected values, and an anomaly is triggered when the actual observed value significantly deviates from the regression prediction.


NEW QUESTION # 31
Refer to the exhibit.

Which two lookup types can you reference as the subquery in a nested analytics query? (Choose two.)

Answer: A,C

Explanation:
In FortiSIEM nested analytics queries, you can reference both CMDB Queries and Event Queries as subqueries. These allow correlation between CMDB data and event data for advanced detection use cases.


NEW QUESTION # 32
What are two required components of a rule? (Choose two.)

Answer: A,C

Explanation:
A Subpattern defines the specific conditions or event patterns the rule is designed to detect, and the Detection Technology specifies the type of detection logic (e.g., real-time, historical). Both are essential for a rule to function in FortiSIEM.


NEW QUESTION # 33
Where can an analyst configure rule notifications and automated remediation on FortiSIEM?

Answer: A


NEW QUESTION # 34
......

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