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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions:

1. 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) Forecasting
B) Anomaly detection
C) Classification
D) Regression

2. Refer to the exhibit. Which two items can be referenced in the incident details when this rule is triggered and creates an incident? (Choose two.)

A) Event Type
B) User
C) Domain Account Lockout
D) Reporting Device
E) COUNT(Matched Events)

3. 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) Forecasting
B) Anomaly detection
C) Classification
D) Regression

4. In an automation policy, which two methods can you use to notify analysts when an incident is triggered? (Choose two.)

A) Email
B) Pop-up window
C) Syslog
D) FortiSIEM Case

5. 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?

A) FortiSIEM will update the model with a higher memory use average value.
B) FortiSIEM will lower the CPU use trigger requirement for CPU use.
C) FortiSIEM will update the regression tables for memory use, and average sent and received bytes.
D) FortiSIEM will trigger an incident for high memory use.

Solutions: