Accurate Fortinet - Examcollection NSE6_FSM_AN-7.4 Questions Answers

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Section	Objectives
Topic 1: FortiEDR Security Settings and Policies	- Security configuration 1. Explain Fortinet Cloud Service (FCS) 2. Configure communication control policy 3. Configure security policies 4. Configure playbooks
Topic 2: Machine Learning, UEBA, and ZTNA	- Advanced analytics integration 1. Configure ML configuration tasks 2. Integrate UEBA data into rules and dashboards 3. Describe ZTNA integration in FortiSIEM operations
Topic 3: Incidents, Notifications, and Remediation	- Incident management 1. Configure notification policies 2. Manage and tune incidents 3. Configure remediation options
Topic 4: Analytics	- Query and event analysis 1. Perform nested query lookups 2. Build queries from search results and events 3. Perform CMDB and lookup table queries 4. Apply group by and data aggregation on search results
Topic 5: Rules and Subpatterns	- Analytics rules configuration 1. Configure FortiSIEM analytics rules 2. Identify rule components 3. Use rule subpatterns, aggregation, and group by

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The NSE6_FSM_AN-7.4 exam is one of the most valuable certification exams. The Fortinet NSE 6 - FortiSIEM 7.4 Analyst (NSE6_FSM_AN-7.4) certification exam opens a door for beginners or experienced PassTorrent professionals to enhance in-demand skills and gain knowledge. NSE6_FSM_AN-7.4 exam credential is proof of candidates' expertise and knowledge. After getting success in the Fortinet NSE 6 - FortiSIEM 7.4 Analyst (NSE6_FSM_AN-7.4) certification exam, candidates can put their careers on the fast route and achieve their goals in a short period of time.

Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q43-Q48):

NEW QUESTION # 43
Refer to the exhibit.

Which statement about the nested query shown in the exhibit is true?

A. The outer query could have referenced all the queried fields from the inner query.
B. The outer query could have also referenced the Reporting IP address field from the inner query.
C. The outer query should have used the operator CONTAINS when referencing the inner query.
D. The outer query could have also referenced the Protocol field from the inner query.

Answer: B

Explanation:
In a nested analytics query, the outer query can reference a compatible field returned by the inner query. Since Reporting IP is an IP address field in the inner report, it could also be used as the referenced field for comparison in the outer query.

NEW QUESTION # 44
Refer to the exhibit.

Which statement about the time range settings defined in the nested query is accurate?

A. FortiSIEM will list source IP addresses found the last 10 minutes of events from each day in the Approved Devices report from the last 30 days.
B. FortiSIEM will search in real time using 10 minute blocks for a source IP address that is not in the Approved Devices report from the last 30 days.
C. FortiSIEM will search the last 30 days of events for a source IP address that is not in the Approved Devices report.
D. FortiSIEM will search the last 10 minutes of events for a source IP address that is not in the Approved Devices report from the last 30 days.

Answer: D

Explanation:
The main analytics search uses the last 10 minutes as the event time range. The nested query uses the Approved Devices report generated from the last 30 days, so FortiSIEM compares recent source IP addresses against that 30-day approved-device result set.

NEW QUESTION # 45
Refer to the exhibit. According to the automation policy configuration shown in the exhibit, what happens if an associated rule triggers?

A. FortiSIEM runs the remediation script.
B. FortiSIEM sends an email.
C. FortiSIEM executes all the actions.
D. FortiSIEM runs everything except the playbook, because the playbook and the remediation script perform similar functions.

Answer: C

Explanation:
All selected actions in the automation policy are executed when the associated rule triggers. In this configuration, email/webhook notification, remediation/script execution, playbook execution, and case creation are all enabled.

NEW QUESTION # 46
Refer to the exhibit.

What will FortiSIEM display if you apply the Group By and Display Fields configuration to a list of allowed firewall connections?

A. A list of connections between unique source and destination IP addresses
B. A list of connections ordered by the number of unique connections started by each source IP address
C. A list of connections ordered by destination IP address hit count
D. A running count of connections, regardless of source or destination

Answer: A

Explanation:
The correct answer is B because the configuration groups results by Source IP and Destination IP , while using COUNT(Matched Events) as a display/aggregate value. FortiSIEM's grouping logic combines events only when the selected Group By attributes match. The Study Guide explains that Group By attributes determine how matching events are placed into rows, and that when multiple events share the same grouped values, "they are grouped together in one row." The count column then tracks the number of events represented by that row. In the exhibit, Source IP and Destination IP are the grouping fields, so FortiSIEM displays each unique connection pair once. The count shows how many matching allowed firewall connection events were seen for each pair. Option A is not correct because the exhibit does not show sorting by destination IP hit count. Option C ignores the source and destination grouping. Option D would require grouping by source IP alone or by distinct destination counts per source, which is not the shown configuration.

NEW QUESTION # 47
Which two data areas can you use for user and entity behavior analytics (EBA) machine learning models?
(Choose two.)

A. Resources
B. Process
C. Location
D. Network

Answer: A,B

Explanation:
The correct answers are A. Process and C. Resources. FortiSIEM UEBA/EBA analytics uses endpoint and behavior-related telemetry to identify abnormal activity. The Study Guide explains that the UEBA incident dashboard shows incidents that the AI module creates based on alerts received from FortiInsight. The UEBA attribute list includes the incident name, host, application, user, tag, and activity. This aligns with process-oriented activity monitoring from endpoint agents. The performance and baseline lessons also explain that FortiSIEM collects performance and availability data from devices and applications, including resource-utilization metrics, and uses that information to build baselines and detect anomalous activity. Resource behavior includes CPU, memory, disk, I/O, and similar utilization patterns, which are valid behavioral-model inputs. Location and Network are important FortiSIEM context areas, but in this question's EBA machine learning model choices, the valid model areas are process behavior and resource behavior. Process reflects what is running or being executed; Resources reflects system or application utilization behavior. Together, these are the two data areas used for EBA machine learning models.

NEW QUESTION # 48
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