專業的最新NSE6_FSM_AN-7.4試題，高質量的考試指南幫助妳壹次性通過NSE6_FSM_AN-7.4考試

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
FortiEDR and Security Policy Integration- FortiEDR Security Configuration
  • 1. Configure playbooks
  • 2. Explain Fortinet Cloud Service (FCS)
  • 3. Configure communication control policy
  • 4. Configure security policies
Analytics and Search- Query and Event Analysis
  • 1. Build queries from search results and events
  • 2. Perform nested query lookups
  • 3. Apply group by and data aggregation
  • 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
Rules and Incident Management- Rules and Alerts
  • 1. Configure FortiSIEM analytics rules
  • 2. Utilize rule subpatterns, aggregation, group by
  • 3. Identify various rule components
- Incidents and Notifications
  • 1. Configure notification policies
  • 2. Manage and tune incidents
  • 3. Configure remediation options

>> 最新NSE6_FSM_AN-7.4試題 <<

NSE6_FSM_AN-7.4考試證照綜述 & NSE6_FSM_AN-7.4認證考試解析

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最新的 NSE 6 Network Security Specialist NSE6_FSM_AN-7.4 免費考試真題 (Q49-Q54):

問題 #49
Refer to the exhibit.

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

答案：A

解題說明：
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 .


問題 #50
You need to model for predicting a target based on other fields in the dataset and then trigger an anomaly if the value does not match the prediction.
Which machine learning algorithm will build this type of model?

答案：B

解題說明：
The correct answer is C. Regression. Regression is the machine learning task used when a model predicts a target value based on other fields in a dataset. In FortiSIEM's machine learning workflow, regression configuration includes selecting Fields to use for Prediction and a Field to Predict. The User Guide explains that during regression training, the analyst chooses the fields used for prediction and the field being predicted, then trains the model with a Train factor. This matches the question exactly:
the model predicts a target based on other fields, and the inference phase can identify anomalies when observed values differ significantly from predicted values. Classification is used to assign records to discrete classes or categories, not to predict a continuous target metric from other variables. Clustering groups similar observations without a predefined target field. Forecasting predicts future values over time, normally based on time-series behavior. Because the question specifically describes predicting a target field from other dataset fields and detecting mismatch from the prediction, the correct machine learning method is Regression.


問題 #51
What are two required components in a rule? (Choose two.)

答案：A,B

解題說明：
A FortiSIEM rule requires at least one subpattern to define the detection logic and a clear policy to determine how the incident is cleared or reset after triggering.


問題 #52
Refer to the exhibits.



You are troubleshooting why the rule shown in the exhibit is generating incidents for successful Remote Desktop Protocol (RDP) connections with correct logins. It should only be triggering when a person fails a login three or more times to the target device when connecting with RDP.
What is causing the rule to be triggered by correct login events?

答案：A

解題說明：
The rule uses OR between the RDP connection subpattern and the failed logon subpattern, so either subpattern can trigger the rule independently. This allows successful RDP connection events to generate incidents even when the failed logon condition is not met.


問題 #53
What are two required components of a rule? (Choose two.)

答案：A,B

解題說明：
A FortiSIEM rule requires detection logic and at least one subpattern structure to evaluate matching events. The FortiSIEM Study Guide explains that a single subpattern rule example consists of filter, aggregate, and group-by sections. It states: "The subpattern, ExcessVPNLoginFailure, consists of three components: Filter, Aggregate, Group By." That confirms that a subpattern is a core rule component.
The FortiSIEM 7.4 User Guide also identifies Detection Technology as part of rule definition and built- in rule metadata. Detection Technology describes the detection method used by the rule, such as correlation, profiling, machine learning, or correlation using lookup tables. Exception policy is not required; it is used to suppress or tune matches under specific conditions. Clear policy is also not required; it controls how an incident can be cleared or auto-cleared after triggering. Therefore, the required components among the listed options are Subpattern and Detection Technology. Without them, the rule lacks both the event-detection structure and the detection-method classification needed for rule evaluation.


問題 #54
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NSE6_FSM_AN-7.4考試證照綜述: https://www.kaoguti.com/NSE6_FSM_AN-7.4_exam-pdf.html