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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q71-Q76):

NEW QUESTION # 71
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: C

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 # 72
Which two types of information can FortiSIEM retrieve from FortiClient EMS through an external connection? (Choose two.)

Answer: A,B

Explanation:
FortiSIEM can integrate with FortiClient EMS to retrieve vulnerability scan events and ZTNA tag information. These integrations enhance endpoint visibility and support automated security and access-control workflows.


NEW QUESTION # 73
Refer to the exhibit.

FortiSIEM is receiving syslog events from a firewall.
You are trying to search raw event logs for traffic from the last two hours that contain the keyword
"UDP". However, you are getting no results from the search.
Based on the filter shown in the exhibit, why are you getting no search results?

Answer: D

Explanation:
The = operator requires an exact match of the entire Raw Event Log field. To search for logs containing the keyword UDP within the raw log text, a contains-style operator must be used instead of an exact equality comparison.


NEW QUESTION # 74
Which two data areas can you use for user and entity behavior analytics (UEBA) machine learning models? (Choose two.)

Answer: C,D

Explanation:
FortiSIEM's UEBA models analyze user and entity behavior by correlating data such as location (for detecting unusual logins or access patterns) and network activity (for identifying abnormal communication or traffic behaviors). These data areas enable the system to build baseline profiles and detect anomalies indicating potential insider threats or compromised accounts.


NEW QUESTION # 75
Refer to the exhibit. You want to use a machine learning (ML) model to train data with the following characteristics shown in the exhibit. Which ML model is the best fit to match the data in the exhibit?

Answer: A

Explanation:
The data points form several distinct groups, so a clustering model is the best fit for identifying natural groupings within the dataset.


NEW QUESTION # 76
......

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