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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q23-Q28):

NEW QUESTION # 23
When using user and entity behavior analytics (UEBA) on FortiSIEM, what must you use to dynamically supply a list of IP addresses to a FortiGate device for blocking purposes?

A. Watchlists
B. Lookup tables
C. SCP
D. API Connection

Answer: A

NEW QUESTION # 24
Refer to the exhibit.

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

A. 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.
B. 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.
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 list source IP addresses found the last 10 minutes of events from each day in the Approved Devices report from the last 30 days.

Answer: B

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 # 25
You need a model that predicts a target field based on other fields in a dataset and then triggers an anomaly if the value does not match the prediction. Which machine learning (ML) algorithm will you use to build this type of model?

A. Anomaly detection
B. Forecasting
C. Classification
D. Regression

Answer: D

Explanation:
Regression models predict the value of a target field using other fields as predictors. FortiSIEM can then generate anomalies when the observed value significantly deviates from the predicted value.

NEW QUESTION # 26
Refer to the exhibit. Which section contains settings that determine which attribute associations are used to trigger an incident?

A. Group By
B. Aggregate
C. Name
D. Filters

Answer: A

NEW QUESTION # 27
Refer to the exhibit.

The configuration shown in the exhibit is incorrect.
What must you change to allow this configuration to be successfully applied to FortiSIEM?

A. Only one AVG type field must be selected under Fields to use for Prediction.
B. The Train factor must be 70% or greater.
C. The selection in Fields to use for Prediction and Field to Predict must match.
D. Run Mode must be set to ML.

Answer: D

Explanation:
The Run Mode is set to Local, which is not valid for training machine learning models in FortiSIEM. To apply this configuration correctly, the Run Mode must be set to ML, which enables proper model training and prediction using selected fields.

NEW QUESTION # 28
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