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Refer to the exhibit.
If you group the events by User, Source IP, and Count attributes, how many results will FortiSIEM display?
See the explanation below.
Grouping by User, Source IP, and Count means that each unique combination of those three attributes will be treated as a separate result. In the table, all six rows have distinct combinations of User, Source IP, and Count - so FortiSIEM will display 6 results.
Refer to the exhibit.
A FortiSIEM device is receiving syslog events from a FortiGate firewall. The FortiSIEM analyst is trying to search the raw event logs for the last two hours that contain the keyword "udp". However, they are getting no results from the search, which they know should be available. Based on the filter shown in the exhibit, why are there no search results?
See the explanation below.
The operator is set to '=', which performs an exact match on the entire raw event log, not a substring search. To find logs that contain the keyword 'udp', the analyst should use the CONTAIN operator instead. This will return all logs where 'udp' appears anywhere in the raw log message.
How does FortiSIEM update the incident table if a performance rule triggers repeatedly?
See the explanation below.
When a performance rule triggers repeatedly, FortiSIEM updates the existing incident by incrementing the Incident Count and refreshing the Last Seen timestamp. This avoids flooding the incident table with duplicates while still tracking repeated occurrences.
Refer to the exhibit.
The configuration shown in the exhibit is incorrect.
What must you change to allow this configuration to be successfully applied to FortiSIEM?
See the explanation below.
The Run Mode is set to Local, which is not valid for training machine learning models in FortiSIEM. To apply this configuration correctly, the Run Mode must be set to ML, which enables proper model training and prediction using selected fields.
Refer to the exhibit.
An analyst wants the rule shown in the exhibit to trigger when three failed login attempts occur within three minutes.
What should the values be for the condition time window and aggregate count?
See the explanation below.
To detect three failed login attempts within three minutes, you must set the aggregate count to 3 in the subpattern and the time window to 180 seconds in the rule condition. This ensures the rule triggers only if three or more failed logins occur in that timeframe.
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