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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions:

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

A) location
B) process
C) resources
D) network

2. In an automation policy, which two methods can you use for notifications when an incident is triggered? (Choose two.)

A) GUI pop-up window
B) Email
C) SNMP trap
D) Assigned FortiSIEM case

3. Refer to the exhibit.
The configuration for a machine learning (ML) dataset using anomaly detection is shown.

If data for this model is generated every hour, how long must the FortiSIEM device be up before it can produce a valid training set?

A) 30 hours
B) 24 hours
C) 10 hours
D) 3 hours

4. 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?

A) The = operator in the Operator column is the wrong operator for this type of search.
B) The AND operator in the Next column is the wrong operator for this type of search.
C) You are using udp in the Value field, but you must use UDP.
D) You can perform raw event log searches using only an Event Keyword search.

5. You need a model for predicting a target field based on other fields in a dataset and then trigger an anomaly if the value does not match the prediction. Which machine learning algorithm will build this type of model?

A) Clustering
B) Regression
C) Regression
D) Forecasting

Solutions: