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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions:

1. You want FortiSIEM to automatically add three zero trust network access (ZTNA) tags to a device when that device triggers a custom rule. You want FortiSIEM to push these ZTNA tags to multiple FortiClient EMS servers in the organization. How can you accomplish this?

A) Create a single playbook with multiple connectors, one for each FortiClient EMS.
B) Create multiple playbooks, one for each FortiClient EMS server, each with a connector for a ZTNA tag.
C) Create multiple automation policies, each one pushing a tag to a different FortiClient EMS server.
D) Create a syslog connection from the FortiClient EMS servers to retrieve ZTNA tag information from FortiSIEM.

2. Refer to the exhibit.

An analyst wants to perform a KMeans machine learning (ML) job on this data.
How many N clusters would be a good fit for the data?

A) 50
B) One
C) Two
D) 100

3. 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?

A) Elliptical envelope
B) Forecasting
C) Anomaly detection
D) Clustering

4. From which two sources can you import data to train FortiSIEM machine learning? (Choose two.)

A) Syslog archives
B) FortiSIEM reports
C) SQL database
D) CSV files

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

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

Solutions: