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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q20-Q25):

NEW QUESTION # 20
Refer to the exhibit.

What is this rule attempting to match? (Choose one answer)

Answer: A

Explanation:
The rule is matching VPN logon failure events where the Source Country is outside the configured home country . In the exhibit, the filter section shows Event Type IN EventTypes: VPN Logon Failure and Source Country NOT IN GeoCountries: My Home . That means the source must be outside the home- country geo group. The aggregate condition shows COUNT(Matched Events) > = 3 , so the rule is looking for at least three matching failed VPN logon events. The Group By section uses Source IP and User , so FortiSIEM evaluates the count per unique source IP and user combination, not by different countries.
The FortiSIEM Study Guide explains that a rule subpattern contains three components: Filter , Aggregate , and Group By . It states that the filter identifies the matching event group, the aggregate function specifies how many events must match, and Group By combines events with the same grouped attributes into one row while the count tracks those events.
Option A is wrong because the rule does not count different countries. Options C and D are wrong because the source country is explicitly NOT IN My Home, not inside the home country.


NEW QUESTION # 21
Refer to the exhibit.

Which two conditions will match this rule and subpatterns? (Choose two.)

Answer: A,B

Explanation:
The user initiates an RDP session (Subpattern 1) and then fails to log in multiple times (Subpattern 2 with COUNT(Matched Events) > = 3) - both from the same Source IP and User within 300 seconds.
The brute force attempts typically involve a successful RDP connection followed by multiple failed logins, satisfying the sequence and grouping conditions in the rule.
The correct answers are A and B because the rule uses multiple subpatterns and requires them to occur in a defined relationship within the configured time window. The FortiSIEM Study Guide states that rule conditions specify the event attributes and thresholds that trigger the rule and create an incident. It also explains that the time window is the period "within which the subpattern(s) must match for the rule condition to be satisfied," and that when there is more than one subpattern, FortiSIEM requires logic between the subpatterns plus subpattern relationship constraints. In the exhibit, the first subpattern detects an RDP connection and the second detects failed logons. The rule condition uses a sequence relationship, so the failed logon activity must follow the RDP connection and match the relationship constraints, such as same user and source IP. A user using RDP over SSL VPN who fails repeatedly satisfies this logic. A brute-force attack against an RDP server also satisfies the repeated failed-logon requirement after an RDP connection. Failing only twice does not meet the aggregate threshold, and connecting to the wrong IP is not the failed-logon sequence being detected.


NEW QUESTION # 22
Refer to the exhibit.
The configuration for a machine learning (ML) dataset using anomaly detection is shown.

If data for this model is generated every hour, how long must the FortiSIEM device be up before it can produce a valid training set?

Answer: C

Explanation:
The Windows parameter is set to 10, meaning FortiSIEM requires 10 data windows to build a valid training baseline. Since data is generated every hour, the device must collect 10 hours of data before producing a valid training set.


NEW QUESTION # 23
Refer to the exhibit. Which two things that happen when this automation policy triggers? (Choose two.)

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 # 24
A critical server is sending traffic that is triggering a high severity outbound intrusion prevention system (IPS) permitted IPS exploit rule. This traffic must be allowed. Which two items must you configure to prevent this sever from triggering the incident? (Choose two.)

Answer: A,D

Explanation:
To stop a known allowed server from generating this incident, you can tune the rule logic by excluding the server IP address in the subpattern filter. You can also create a rule exception for that IP address, which suppresses incident generation for matching traffic from the approved server while leaving the rule active for other sources.


NEW QUESTION # 25
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