100% Pass Quiz 2026 Fortinet - Frenquent NSE6_FSM_AN-7.4 Update

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Section	Objectives
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
Rules and Incident Management	- Incidents and Notifications 1. Configure notification policies 2. Configure remediation options 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
FortiEDR and Security Policy Integration	- FortiEDR Security Configuration 1. Configure playbooks 2. Explain Fortinet Cloud Service (FCS) 3. Configure security policies 4. Configure communication control policy
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

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Quiz NSE6_FSM_AN-7.4 - Useful Frenquent Fortinet NSE 6 - FortiSIEM 7.4 Analyst Update

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which two ways can an automation service playbook can be triggered? (Choose two.)

A. Manually, through an event in an analytics search
B. Automatically, through an automation policy
C. Manually, through the incident details menu
D. Automatically, when a dashboard threshold is reached

Answer: B,C

Explanation:
FortiSIEM playbooks can be triggered manually from the incident details menu or automatically through automation policies tied to rule-generated incidents.

NEW QUESTION # 20
Refer to the exhibit.

If you apply this Group By and Display Fields configuration to a list of network connections, which information will FortiSIEM display?

A. A list of connections ordered by the number of unique connections started by each unique source IP address
B. A list of connections between unique source and destination IP addresses
C. A list of connections ordered by the total amount of data sent between unique devices
D. A running count of connections, regardless of their source and destination

Answer: B

Explanation:
Grouping by Source IP and Destination IP causes FortiSIEM to aggregate events into unique source-to-destination connection pairs. The matched-events count is displayed for each unique pair, showing how many connections or matching events exist for that grouped relationship.

NEW QUESTION # 21
You want FortiSIEM to automatically add three zero trust network access (ZTNA) tags to a device when that device triggers a custom rule. You want FortiSIEM to push these ZTNA tags to multiple FortiClient EMS servers in the organization. How can you accomplish this?

A. Create multiple playbooks, one for each FortiClient EMS server, each with a connector for a ZTNA tag.
B. Create a single playbook with multiple connectors, one for each FortiClient EMS.
C. Create multiple automation policies, each one pushing a tag to a different FortiClient EMS server.
D. Create a syslog connection from the FortiClient EMS servers to retrieve ZTNA tag information from FortiSIEM.

Answer: B

Explanation:
A single playbook can contain multiple connectors, allowing FortiSIEM to push the required ZTNA tags simultaneously to multiple FortiClient EMS servers when the custom rule is triggered.

NEW QUESTION # 22
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. Run Mode must be set to ML.
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 # 23
You want to build an event query that displays only events to higher number destination ports (1024-65535). Which analytic search string is valid for this scenario?

A. Destination TCP/UDP Port = 1024-65535
B. Destination TCP/UDP Port >= 1024 AND Destination TCP/UDP Port <= 65535
C. Destination TCP/UDP Port > 1024
D. Destination TCP/UDP Port BETWEEN 1024-65535

Answer: B

Explanation:
FortiSIEM analytic searches support explicit comparison operators. Using greater-than-or-equal- to and less-than-or-equal-to conditions correctly defines the valid destination port range from
1024 through 65535.

NEW QUESTION # 24
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