FCP_FSM_AN-7.2基礎訓練、FCP_FSM_AN-7.2試験

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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	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 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.
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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FCP_FSM_AN-7.2試験 & FCP_FSM_AN-7.2日本語版テキスト内容

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Fortinet FCP - FortiSIEM 7.2 Analyst 認定 FCP_FSM_AN-7.2 試験問題 (Q39-Q44):

質問 # 39
In FortiSIEM, which database stores discovery information?

A. SVN DB
B. Event DB
C. CMDB
D. Profile DB

正解：C

解説：
FortiSIEM stores discovery information - such as device attributes, IPs, roles, and relationships - in the Configuration Management Database (CMDB). The CMDB maintains an up-to-date inventory of all discovered assets, serving as the central repository for device and infrastructure configuration data.

質問 # 40
Refer to the exhibit.

If you group the events by User and Count attributes, how many results will FortiSIEM display?

A. Three
B. Five
C. Six
D. Two
E. One

正解：B

解説：
Grouping by User and Count yields five unique pairs: (Mike,4), (Bob,3), (Alice,2), (Bob,6), (Mike,5).

質問 # 41
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. The Train factor must be 70% or greater.
C. Only one AVG type field must be selected under Fields to use for Prediction.
D. Run Mode must be set to ML.

正解：D

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 # 42
Refer to the exhibit.

If you group the events by User, Source IP, and Count attributes, how many results will FortiSIEM display?

A. Three
B. Six
C. Five
D. Four
E. Two

正解：B

解説：
Grouping by User, Source IP, and Count means that each unique combination of those three attributes will be treated as a separate result. In the table, all six rows have distinct combinations of User, Source IP, and Count - so FortiSIEM will display 6 results.

質問 # 43
Refer to the exhibit.

An analyst wants the rule shown in the exhibit to trigger when three failed login attempts occur within three minutes.
What should the values be for the condition time window and aggregate count?

A. Time window 180 seconds, aggregate count 3
B. Time window 90 seconds, aggregate count 2
C. Time window 180 seconds, aggregate count 2
D. Time window 90 seconds, aggregate count 3

正解：A

解説：
To detect three failed login attempts within three minutes, you must set the aggregate count to 3 in the subpattern and the time window to 180 seconds in the rule condition. This ensures the rule triggers only if three or more failed logins occur in that timeframe.

質問 # 44
......

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