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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions:

1. 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) 10 hours
B) 30 hours
C) 24 hours
D) 3 hours

2. What are four incident status options on FortiSIEM?

A) Active, auto closed, closed manually, system closed
B) Active, cleared, false negative, false positive
C) Active, closed, cleared, resolved
D) Active, auto cleared, cleared manually, system cleared

3. Refer to the exhibit.


You are attempting to tune an anomaly detection machine learning (ML) job. The chart shows there are no anomalies detected, but you are not satisfied with the fit of the ML model.
Which adjustment must you make to train the model and ensure a better fit?

A) Increase the Multiplier.
B) Decrease the Multiplier.
C) Increase the number of Windows.
D) Decrease the number of Windows.

4. Refer to the exhibit. What is this rule attempting to match?

A) Failed VPN logon attempts from three or more different sources inside the home country.
B) Failed VPN logon attempts from three or more different outside countries.
C) Failed VPN logon events from a source outside the home country.
D) Excessive VPN logon failures from a source inside the home country.

5. Refer to the exhibit. Why is this search not producing any results?

A) You cannot reference both the User and Event Type attributes in the same analytics search.
B) You must set the Operator to = for both queries.
C) There is a nested query attribute type mismatch.
D) You did not use the configuration management database (CMDB) group search properly.
E) You must set the Time Range to Real-time to identify login failures.

Solutions: