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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Section	Objectives
Topic 1: Analytics and Search	- Query and Event Analysis 1. Perform nested query lookups 2. Apply group by and data aggregation 3. Perform CMDB and lookup table queries 4. Build queries from search results and events
Topic 2: 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
Topic 3: Advanced Analytics and Integrations	- ML, UEBA, and ZTNA 1. Integrate UEBA data into rules and dashboards 2. Describe ZTNA integration in FortiSIEM operations 3. Configure machine learning (ML) settings
Topic 4: Rules and Incident Management	- Incidents and Notifications 1. Manage and tune incidents 2. Configure remediation options 3. Configure notification policies - Rules and Alerts 1. Configure FortiSIEM analytics rules 2. Utilize rule subpatterns, aggregation, group by 3. Identify various rule components

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q54-Q59):

NEW QUESTION # 54
Refer to the exhibit. Which two things that happen when this automation policy triggers? (Choose two.)

A. A clear notification is sent to the SOC manager dashboard.
B. No notification or remediation is performed.
C. An email is sent to the defined email.
D. A remediation script is run.

Answer: C,D

Explanation:
The automation policy has Send Email/SMS/Webhook to the target users enabled, so an email notification is sent. It also has Run Remediation/Script enabled, so the configured remediation script is executed when the policy triggers.

NEW QUESTION # 55
What are two required components of a rule? (Choose two.)

A. Exception policy
B. Clear policy
C. Subpattern
D. Detection Technology

Answer: C,D

Explanation:
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.

NEW QUESTION # 56
How does FortiSIEM update the incident details if the same rule triggers repeatedly?

A. FortiSIEM changes the incident status to Repeated, and updates the Last Seen timestamp.
B. FortiSIEM updates the Incident Count value and Last Seen timestamp.
C. FortiSIEM generates a new incident based on the Rule Frequency value, and updates the First Seen and Last Seen timestamps.
D. FortiSIEM generates a new incident each time the rule triggers and updates all the First Seen and Last Seen timestamps.

Answer: B

Explanation:
When the same rule triggers repeatedly for an existing incident, FortiSIEM updates the Incident Count and refreshes the Last Seen timestamp while maintaining the original incident record.

NEW QUESTION # 57
Rules on FortiSIEM are usually processed as events are collected (streaming). How can you create a rule to evaluate events over an 8-hour period?

A. Set the Evaluation Mode to Scheduled under the General tab.
B. Configure a crontab process on the FortiSIEM supervisor.
C. Configure a 28,000-second time window under the Define Conditions tab.
D. Configure a report to run the analytical query and run the report every 8 hours.

Answer: A

Explanation:
Setting the Evaluation Mode to Scheduled allows FortiSIEM to evaluate accumulated events over a defined historical period, such as 8 hours, instead of processing events only in real time through streaming evaluation.

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

Answer: D

Explanation:
The correct answer is A . In FortiSIEM machine learning training, the Train factor controls how much of the prepared dataset is used for training and how much is reserved for testing. The FortiSIEM 7.4 User Guide states in the regression training procedure that the analyst must choose the Train factor and that it "should be greater than 70%." It also explains the meaning of the value: 70% of the data is used for training and 30% is used for testing. This directly supports option A. Option B is incorrect because the supported running modes include Local, Local Auto, and AWS; "ML" is not the required run mode. Option C is incorrect because regression can use multiple fields for prediction; the guide instructs the user to choose the fields to use for prediction and the field to predict. Option D is incorrect because prediction input fields and target field should not be the same. Regression builds a model to predict a target field based on other fields, so the configuration must use a valid Train factor rather than matching predictor and target fields.

NEW QUESTION # 59
......

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