Authentic Fortinet Certification Exam NSE6_FSM_AN-7.4 Questions Answers

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.

The correct answer is A because three minutes equals 180 seconds, and the aggregate threshold must be set to three matching events. The FortiSIEM Study Guide explains that rule conditions specify event attributes and thresholds that trigger the rule and create an incident. It further states that the time window defines the period within which the subpattern must match for the rule condition to be satisfied. The Study Guide’s single-subpattern rule example shows the same principle: the condition has a configured time window, and the Aggregate section uses a function such as COUNT(Matched Events) to require a minimum number of matching events. In this question, the analyst wants the rule to trigger when three failed login attempts happen within three minutes . Therefore, the rule condition time window must be 180 seconds , and the aggregate count must be 3 . A 90-second window would detect only events inside one and a half minutes, not the required three minutes. An aggregate count of 2 would trigger too early because the requirement is three failed attempts.

The correct answer is D. The exhibit shows an outer event query using the Event Attribute filter Source IP NOT IN Device IP: Approved Devices. The outer query time range is set to Relative — Last 10 Minutes, so FortiSIEM searches only the event data from the last 10 minutes. The exhibit also shows a separate Nested Time Range set to Relative — Last 30 Days. In FortiSIEM nested searches, the nested time range applies to the inner report/subquery, not to the outer event search. The FortiSIEM 7.4 User Guide states that nested query functionality lets one query refer to results from another query, and for outer event / inner event nested searches, it instructs the user to “choose the time range for outer query” and separately “choose Nested Time Range for the inner query.” It also states that when an existing query is used as an inner query, “time range would be set separately” in the outer query configuration. Therefore, FortiSIEM searches the last 10 minutes of outer events and compares their Source IP values against the Device IP values returned by the Approved Devices report using the last 30 days nested time range.

The exhibit shows a machine learning Regression configuration. In FortiSIEM regression, selected numerical fields are used as predictors, and another field is selected as the value to predict. The FortiSIEM 7.4 User Guide’s Machine Learning section lists Regression separately and describes the training workflow, including selecting fields used by the algorithm. The exhibit shows Memory Utilization, Sent Bytes, and Received Bytes selected under Fields to use for Prediction, while CPU Utilization is selected under Field to Predict. This means Memory Utilization is an input variable used by the model. If memory utilization is consistently high during training or retraining, that higher value becomes part of the learned model pattern. FortiSIEM does not automatically trigger a high-memory incident merely because a regression input value is high; an incident would require inference behavior and an anomaly action or rule configuration. Option C is also wrong because FortiSIEM does not dynamically lower a CPU trigger threshold just because memory is high. The correct behavior is model update based on the higher observed input value.