NSE6_FSM_AN-7.4試験学習資料、NSE6_FSM_AN-7.4模擬テストエンジン、Fortinet NSE 6 - FortiSIEM 7.4 Analyst試験準備

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:
| Section | Objectives |
|---|
| Rules and Incident Management | - Incidents and Notifications
- 1. Manage and tune incidents
- 2. Configure notification policies
- 3. Configure remediation options
- Rules and Alerts
- 1. Configure FortiSIEM analytics rules
- 2. Identify various rule components
- 3. Utilize rule subpatterns, aggregation, group by
|
| FortiEDR and Security Policy Integration | - FortiEDR Security Configuration
- 1. Explain Fortinet Cloud Service (FCS)
- 2. Configure security policies
- 3. Configure communication control policy
- 4. Configure playbooks
|
| Analytics and Search | - Query and Event Analysis
- 1. Build queries from search results and events
- 2. Apply group by and data aggregation
- 3. Perform nested query lookups
- 4. Perform CMDB and lookup table queries
|
| Advanced Analytics and Integrations | - ML, UEBA, and ZTNA
- 1. Describe ZTNA integration in FortiSIEM operations
- 2. Integrate UEBA data into rules and dashboards
- 3. Configure machine learning (ML) settings
|
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Fortinet NSE 6 - FortiSIEM 7.4 Analyst 認定 NSE6_FSM_AN-7.4 試験問題 (Q21-Q26):
質問 # 21
Refer to the exhibit.

Which section contains the subpattern configuration that determines how many matching events are needed to trigger the rule?
- A. Group By
- B. Aggregate
- C. Filters
- D. Actions
正解:B
解説:
The Aggregate section contains the condition COUNT(Matched Events) > = 1, which defines how many events must match the filter criteria for the rule to trigger. This is the subpattern configuration that determines the event threshold.
The correct answer is A. Aggregate . In FortiSIEM rule subpatterns, the Filter section defines which events are eligible for matching, but the Aggregate section defines the statistical or threshold condition that must be satisfied before the subpattern is considered matched. The Study Guide explains that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also states that a single-subpattern rule is formed by three fields: filters, aggregate, and group by. In the exhibit, the aggregate line is COUNT (Matched Events) > = 1. That expression directly specifies the number of matching events required to satisfy the subpattern. Group By only controls how matching events are partitioned into separate evaluation groups.
Actions define what happens after a rule triggers, such as incident generation or notification. Filters define the event type or attribute criteria, but they do not define the required count threshold. Therefore, the section that determines how many matching events are needed is the Aggregate section.
質問 # 22
Refer to the exhibit. According to the automation policy configuration shown in the exhibit, what happens if an associated rule triggers?

- A. FortiSIEM runs the remediation script.
- B. FortiSIEM runs everything except the playbook, because the playbook and the remediation script perform similar functions.
- C. FortiSIEM sends an email.
- D. FortiSIEM executes all the actions.
正解:D
解説:
All selected actions in the automation policy are executed when the associated rule triggers. In this configuration, email/webhook notification, remediation/script execution, playbook execution, and case creation are all enabled.
質問 # 23
Refer to the exhibit.

If you group the events by User and Count attributes, how many results will FortiSIEM display?
- A. Two
- B. Three
- C. Six
- D. One
- E. Five
正解:E
解説:
The verified answer is D. Five . FortiSIEM grouping is based on unique combinations of the selected Group By fields. The Study Guide explains this behavior clearly: if multiple events have the same selected Group By values, "they are grouped together in one row," and the count column tracks the number of events for each row. In this question, the selected fields are User and Count . The six raw rows contain these combinations:
Mike/4, Bob/3, Alice/2, Alice/2, Bob/6, and Mike/5. Because Alice/2 appears twice, those two rows are grouped into a single result. The remaining combinations are unique. So FortiSIEM displays five grouped results, not six. Six would be correct only if every row had a unique User-and-Count combination, or if grouping included another differentiating attribute such as Source IP. Since the question specifically groups only by User and Count, duplicate User/Count pairs collapse into one row. Therefore, the correct result count is five .
質問 # 24
Refer to the exhibits.



Three events are collected over 10 minutes from two servers: Server A and Server B.
Based on the settings for the rule subpattern and a 10-minute condition window, how many incidents will the servers generate?
- A. Server A will generate one incident and Server B will not generate any incidents
- B. Server A will generate three incidents and server B will generate one incident.
- C. Server A will generate one incident and Server B will generate one incident.
- D. Server A will not generate any incidents and Server B will not generate any incidents.
正解:A
解説:
The rule groups events by host and evaluates them within the 10-minute window. Server A has three matching CPU utilization events, and its average CPU utilization is greater than the configured critical threshold of 90, so it generates one incident. Server B does not exceed the threshold, so it does not generate an incident.
質問 # 25
Refer to the exhibit.

Which value would you expect the FortiSIEM parser to use to populate the Application Name field?
- A. Network.Service
- B. applist
- C. wan1
- D. SSL
正解:D
解説:
The correct answer is C. SSL . FortiSIEM receives raw logs, processes them through parsers, normalizes the extracted fields, classifies the event, and stores the structured data. The Study Guide explains the FortiSIEM process flow: data is collected, processed by the parsing engine, normalized, classified, and then stored. It further states that normalization extracts individual fields from raw events and maps those fields to a common schema. The FortiSIEM 7.4 User Guide describes a parser as a file containing instructions for the parser module to convert a raw log into event attributes. In the exhibit, the raw FortiGate log includes values such as profiletype= " applist " , appcat= " Network.Service " , and app= " SSL " . The field that directly represents the application value is app= " SSL " . Therefore, the parser would use SSL to populate the normalized Application Name field. applist describes the profile type, Network.Service is the application category, and wan1 is the interface, not the application name.
質問 # 26
......
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