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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q16-Q21):

NEW QUESTION # 16
An analyst wants to run a remediation playbook when a user fails a VPN login five times from an external machine. Where do they associate the remediation playbook with the triggering rule?

Answer: A

Explanation:
A remediation playbook is associated directly with the rule in the Action section. When the rule conditions are met and the incident is triggered, FortiSIEM can run the configured playbook as part of the rule's automated response.


NEW QUESTION # 17
Refer to the exhibit. Which event type attribute value will the FortiSIEM parser save for this event?

Answer: A

Explanation:
FortiSIEM parsers map raw event attributes to normalized event type attributes. In this event, the parser identifies the sysUpTime value and stores it under the normalized FortiSIEM attribute name PH_DEV_MON_SYS_UPTIME.


NEW QUESTION # 18
Refer to the exhibit. Which section contains settings that determine which attribute associations are used to trigger an incident?

Answer: B


NEW QUESTION # 19
Refer to the exhibit.

An analyst wants to perform a KMeans machine learning (ML) job on this data.
How many N clusters would be a good fit for the data?

Answer: A

Explanation:
The scatter plot shows two visually distinct groupings of data points, making two clusters an appropriate fit for a KMeans ML job.


NEW QUESTION # 20
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 # 21
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