NSE6_FSM_AN-7.4問題サンプル、NSE6_FSM_AN-7.4全真模擬試験

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
FortiEDR and Security Policy Integration- FortiEDR Security Configuration
  • 1. Configure communication control policy
  • 2. Configure playbooks
  • 3. Configure security policies
  • 4. Explain Fortinet Cloud Service (FCS)
Rules and Incident Management- Incidents and Notifications
  • 1. Configure remediation options
  • 2. Configure notification policies
  • 3. Manage and tune incidents
- Rules and Alerts
  • 1. Utilize rule subpatterns, aggregation, group by
  • 2. Identify various rule components
  • 3. Configure FortiSIEM analytics rules
Advanced Analytics and Integrations- ML, UEBA, and ZTNA
  • 1. Integrate UEBA data into rules and dashboards
  • 2. Configure machine learning (ML) settings
  • 3. Describe ZTNA integration in FortiSIEM operations
Analytics and Search- Query and Event Analysis
  • 1. Perform CMDB and lookup table queries
  • 2. Build queries from search results and events
  • 3. Apply group by and data aggregation
  • 4. Perform nested query lookups

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst 認定 NSE6_FSM_AN-7.4 試験問題 (Q72-Q77):

質問 # 72
Refer to the exhibit. Which two actions can you select in an automation policy to trigger an API call to block an IP address on a FortiGate? (Choose two.)

正解:D、E

解説:
An automation policy can trigger an API-based response by invoking an integration policy or by running a remediation script. Both methods can be used to perform automated response actions such as calling the FortiGate API to block a malicious IP address.


質問 # 73
Refer to the exhibit.

Which statement about the time range settings defined in the nested query is accurate? (Choose one answer)

正解:D

解説:
The correct answer is D. The exhibit shows an outer event query using the Event Attribute filter Source IP NOT IN Device IP: Approved Devices. The outer query time range is set to Relative - Last 10 Minutes, so FortiSIEM searches only the event data from the last 10 minutes. The exhibit also shows a separate Nested Time Range set to Relative - Last 30 Days. In FortiSIEM nested searches, the nested time range applies to the inner report/subquery, not to the outer event search. The FortiSIEM 7.4 User Guide states that nested query functionality lets one query refer to results from another query, and for outer event / inner event nested searches, it instructs the user to "choose the time range for outer query" and separately "choose Nested Time Range for the inner query." It also states that when an existing query is used as an inner query, "time range would be set separately" in the outer query configuration. Therefore, FortiSIEM searches the last 10 minutes of outer events and compares their Source IP values against the Device IP values returned by the Approved Devices report using the last
30 days nested time range.


質問 # 74
You want to create a rule with multiple subpatterns but trigger an incident only if three different subpatterns are matched over a 24-hour period. Where must you define the time period that the rule uses to evaluate all the subpatterns?

正解:B

解説:
For a rule that evaluates multiple subpatterns together, the shared evaluation period is configured as the rule's time window under the General tab. This defines the overall period FortiSIEM uses to correlate the required subpattern matches before triggering the incident.


質問 # 75
You are creating a rule to fill a gap in your organization's MITRE ATT&CK rule coverage matrix.
How can you associate the rule with an appropriate tactics, techniques and procedures (TTP) category?

正解:B

解説:
A rule is associated with MITRE ATT&CK coverage by configuring the relevant tactics, techniques, and procedures category in the rule properties. This mapping is applied as part of the rule configuration so incidents generated by the rule contribute to the appropriate coverage category.


質問 # 76
Which two data areas can you use for user and entity behavior analytics (EBA) machine learning models?
(Choose two.)

正解:C、D

解説:
The correct answers are A. Process and C. Resources. FortiSIEM UEBA/EBA analytics uses endpoint and behavior-related telemetry to identify abnormal activity. The Study Guide explains that the UEBA incident dashboard shows incidents that the AI module creates based on alerts received from FortiInsight. The UEBA attribute list includes the incident name, host, application, user, tag, and activity. This aligns with process-oriented activity monitoring from endpoint agents. The performance and baseline lessons also explain that FortiSIEM collects performance and availability data from devices and applications, including resource-utilization metrics, and uses that information to build baselines and detect anomalous activity. Resource behavior includes CPU, memory, disk, I/O, and similar utilization patterns, which are valid behavioral-model inputs. Location and Network are important FortiSIEM context areas, but in this question's EBA machine learning model choices, the valid model areas are process behavior and resource behavior. Process reflects what is running or being executed; Resources reflects system or application utilization behavior. Together, these are the two data areas used for EBA machine learning models.


質問 # 77
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