Fortinet FCSS_ADA_AR-6.7 Exam Dumps

FortiSIEM's User and Entity Behavior Analytics (UEBA) uses AI-driven modeling to detect anomalies and security risks based on user activity. The risk weighting for UEBA tags allows customization of the AI model by prioritizing certain behaviors or indicators over others.

Adjusting risk weightings fine-tunes how the AI model evaluates risk, helping organizations align detection sensitivity with their security policies. This provides a customized risk scoring mechanism without requiring full AI retraining.

From the 'Clear If' condition in the exhibit:

WITHIN 5 minutes, the system checks if the pattern AllPingLossSrv_CLEAR occurs.

The Host IP of the clear condition must match the Host IP of the original rule (Clear_Condition.Host IP = Original_Rule.Host IP).

If this condition is met, the system automatically clears the incident because it indicates that network connectivity has been restored (packet loss has dropped).

Thus, the incident was auto-cleared because the system detected that the issue was resolved within the defined 5-minute window, meeting the conditions for auto-clearance.

When a FortiSIEM collector is deployed for the first time, most of its processes remain down until it is successfully registered with the supervisor.

The phMonitor process is running because it monitors system health, but other services remain inactive until the collector establishes communication with the supervisor.

Once the collector registers to the supervisor, it receives configurations and policies, and its processes will start automatically.

In FortiSIEM, collectors need to upload event logs to a worker node for processing. However, if there is no dedicated worker, the supervisor can function as the worker to receive data.

The error message suggests that a worker upload address must be defined before adding a collector.

Since there is no dedicated worker, the administrator can set the Supervisor IP as the upload destination to enable log collection.