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| Section | Objectives |
|---|---|
| Topic 1: FortiEDR and Security Policy Integration | - FortiEDR Security Configuration
|
| Topic 2: Analytics and Search | - Query and Event Analysis
|
| Topic 3: Advanced Analytics and Integrations | - ML, UEBA, and ZTNA
|
| Topic 4: Rules and Incident Management | - Rules and Alerts
|
>> Fortinet NSE6_FSM_AN-7.4 Exam Exercise <<
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NEW QUESTION # 31
Refer to the exhibit.
What will happen when a device being analyzed by the machine learning configuration shown in the exhibit has consistently high memory utilization?
Answer: C
Explanation:
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.
NEW QUESTION # 32
Refer to the exhibits.
You are troubleshooting why the rule shown in the exhibit is generating incidents for successful Remote Desktop Protocol (RDP) connections with correct logins. It should only be triggering when a person fails to log in three or more times to the target device when connecting with RDP.
What is causing the rule to be triggered by correct login events? (Choose one answer)
Answer: C
Explanation:
The rule is triggering on successful RDP connection events because the Next operator between the two subpatterns is set to OR . The FortiSIEM Study Guide explains that multiple subpattern rules are used when patterns must occur within a specific time period or when one of several patterns proves that an incident condition exists. It lists the OR operator as: "Subpattern X OR Subpattern Y occurred within the Time Window." The same Study Guide further explains that if multiple patterns are used, FortiSIEM requires a next operator, and in the OR example, "an event that matches either" subpattern will trigger. It also states that because the next operator is OR, the constraint between the two subpatterns is not enforced.
In the exhibit, Subpattern 1 matches RDP traffic on TCP/UDP port 3389 from FortiGate traffic- forward events, while Subpattern 2 matches logon failure events with COUNT(Matched Events) > = 3.
Because the rule uses OR, FortiSIEM can trigger when only the RDP connection subpattern matches, even if the failed-logon subpattern does not match. The correct logic should require both subpatterns to match with the intended relationship constraints, not either subpattern independently.
NEW QUESTION # 33
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?
Answer: A
Explanation:
The ML regression model uses memory utilization, sent bytes, and received bytes as prediction inputs for CPU utilization. If memory usage remains consistently high, FortiSIEM adapts the learned baseline and updates the model with a higher average memory utilization value over time.
NEW QUESTION # 34
Refer to the exhibit.
An analyst is troubleshooting the rule shown in the exhibit. It is not generating any incidents, but the filter parameters are generating events on the Analytics tab.
What is wrong with the rule conditions?
Answer: D
Explanation:
The correct answer is C because the rule's Group By attributes determine how events are grouped before the aggregate condition is evaluated. The Study Guide explains that rule conditions are built from subpatterns consisting of event attribute filters and aggregation functions. It also explains that a subpattern combines filters, aggregate, and group by fields to form the rule logic. In this case, the filters may return matching events in Analytics, but the rule still may not trigger because the aggregate condition is calculated separately for each unique Group By combination. The exhibit groups by Destination IP and User while applying COUNT(Source IP) > = 2. This means FortiSIEM does not count all matching events together. Instead, it counts only events that share the same Destination IP and User combination. If no single grouped combination reaches the aggregate threshold, no incident is created. The issue is not the event lookup, not the Destination Host Name format, and not necessarily the aggregate expression itself. The grouping logic is what restricts the counted event set.
NEW QUESTION # 35
Refer to the exhibit.
If you group the events by Reporting Device , Reporting IP , and Application Category , how many results will FortiSIEM display?
Answer: A
Explanation:
FortiSIEM grouping works by combining events that have the same values for all selected Group By attributes. The Study Guide's rule and subpattern example states that when multiple events have the same Group By values, "they are grouped together in one row, and the count column tracks the number of events for each of those rows." In the exhibit, the selected grouping fields are Reporting Device, Reporting IP, and Application Category. The table contains six raw rows, but two rows share the same grouped combination:
FW01 / 10.1.1.1 / DB . Those two rows are collapsed into one grouped result. The other combinations are unique: FW02 / 10.1.1.2 / WebApp, FW01 / 10.1.1.1 / SSH, FW03 / 10.1.1.3 / DB, and FW04 / 10.1.1.4 / SSH. That creates five grouped rows in total. FortiSIEM does not display six because grouping removes duplicate combinations, and it does not display four because only one duplicate combination exists.
NEW QUESTION # 36
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