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Fortinet FCP_FSM_AN-7.2 認定試験の出題範囲：

トピック	出題範囲
トピック 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.
トピック 2	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.
トピック 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.
トピック 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 認定 FCP_FSM_AN-7.2 試験問題 (Q57-Q62):

質問 # 57
Refer to the exhibit.

An analyst is troubleshooting the rule shown in the exhibit. It is not generating any incidents, but the filter parameters are generating events on the Analytics tab.
What is wrong with the rule conditions?

A. The Aggregate attribute is too restrictive.
B. The Destination Host Name value is not fully qualified.
C. The Event Type refers to a CMDB lookup and should be an Event lookup.
D. The Group By attributes restricts which events are counted.

正解：D

解説：
The Group By attributes - Destination IP and User - cause the aggregation (COUNT(Source IP) >= 2) to apply within each unique combination of those groupings. This restricts the count calculation and can prevent the rule from triggering incidents, even if matching events exist in the Analytics tab.

質問 # 58
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?

A. The selection in Fields to use for Prediction and Field to Predict must match.
B. Only one AVG type field must be selected under Fields to use for Prediction.
C. Run Mode must be set to ML.
D. The Train factor must be 70% or greater.

正解：C

解説：
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.

質問 # 59
When using user and entity behavior analytics (UEBA) on FortiSIEM, what must you use to dynamically supply a list of IP addresses to a FortiGate device for blocking purposes?

A. API Connection
B. Lookup tables
C. Watchlists
D. SCP

正解：C

質問 # 60
When configuring anomaly detection machine learning, in which step must you select the fields to analyze?

A. Train
B. Design
C. Schedule
D. Prepare Data

正解：D

解説：
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.

質問 # 61
Refer to the exhibit.

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

A. CMDB Query
B. SNMP Query
C. Event Query
D. LDAP Query

正解：A、C

解説：
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.

質問 # 62
......

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