Best NSE6_FSM_AN-7.4 Study Material & NSE6_FSM_AN-7.4 Certification Sample Questions

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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)
Topic 2: Analytics and Search- Query and Event Analysis
  • 1. Build queries from search results and events
  • 2. Perform nested query lookups
  • 3. Perform CMDB and lookup table queries
  • 4. Apply group by and data aggregation
Topic 3: Rules and Incident Management- Incidents and Notifications
  • 1. Configure remediation options
  • 2. Manage and tune incidents
  • 3. Configure notification policies
- Rules and Alerts
  • 1. Identify various rule components
  • 2. Utilize rule subpatterns, aggregation, group by
  • 3. Configure FortiSIEM analytics rules
Topic 4: 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

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Fortinet NSE6_FSM_AN-7.4 Certification Sample Questions, Prep NSE6_FSM_AN-7.4 Guide

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q87-Q92):

NEW QUESTION # 87
You want to build a query that includes only events that contain a username.
What is a valid analytics query that will perform this type of search?

Answer: B

Explanation:
A query using IS NOT NULL returns only events where the User attribute has a value. This is the valid way to filter analytics results to events that contain a username.


NEW QUESTION # 88
Refer to the exhibit. If you group these events by the Reporting IP, Event Type, and User attributes, how many results will FortiSIEM display?

Answer: C

Explanation:
All events share the same Reporting IP and Event Type. Grouping by User produces three distinct groups: Mike, Bob, and Alice. Therefore, FortiSIEM displays three results.


NEW QUESTION # 89
Refer to the exhibit. What will happen when a device being analyzed by the machine learning (ML) configuration shown in the exhibit has a consistently high memory use?

Answer: D

Explanation:
The ML regression model uses memory utilization, sent bytes, and received bytes as prediction inputs for CPU utilization. If memory usage remains consistently high, FortiSIEM adapts the learned baseline and updates the model with a higher average memory utilization value over time.


NEW QUESTION # 90
Refer to the exhibits.



Three events are collected over 10 minutes from two servers: Server A and Server B.
Based on the settings for the rule subpattern and a 10-minute condition window, how many incidents will the servers generate?

Answer: D

Explanation:
The rule groups events by host and evaluates them within the 10-minute window. Server A has three matching CPU utilization events, and its average CPU utilization is greater than the configured critical threshold of 90, so it generates one incident. Server B does not exceed the threshold, so it does not generate an incident.


NEW QUESTION # 91
What are four incident status options on FortiSIEM?

Answer: C

Explanation:
FortiSIEM incidents can use status values that track the incident lifecycle, including active investigation, closure, clearing, and resolution. These statuses help analysts manage whether an incident is still open, has been cleared by conditions, has been closed, or has been resolved.


NEW QUESTION # 92
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