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| Section | Objectives |
|---|---|
| Analytics and Search | - Query and Event Analysis
|
| FortiEDR and Security Policy Integration | - FortiEDR Security Configuration
|
| Advanced Analytics and Integrations | - ML, UEBA, and ZTNA
|
| Rules and Incident Management | - Rules and Alerts
|
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問題 #76
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?
答案：A
解題說明：
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.
問題 #77
Which run mode takes the most time to perform machine learning tasks?
答案：D
問題 #78
Several new internal servers are generating incidents and must be excluded from several FortiSIEM rules. How must you tune rules to exclude several undiscovered devices from rules?
答案：B
解題說明：
Creating a device group containing the servers and applying that group as a filter exclusion in the relevant rules is the proper tuning method for excluding multiple undiscovered devices from generating incidents across several rules.
問題 #79
You need to model for predicting a target based on other fields in the dataset and then trigger an anomaly if the value does not match the prediction.
Which machine learning algorithm will build this type of model?
答案：C
解題說明：
The correct answer is C. Regression. Regression is the machine learning task used when a model predicts a target value based on other fields in a dataset. In FortiSIEM's machine learning workflow, regression configuration includes selecting Fields to use for Prediction and a Field to Predict. The User Guide explains that during regression training, the analyst chooses the fields used for prediction and the field being predicted, then trains the model with a Train factor. This matches the question exactly:
the model predicts a target based on other fields, and the inference phase can identify anomalies when observed values differ significantly from predicted values. Classification is used to assign records to discrete classes or categories, not to predict a continuous target metric from other variables. Clustering groups similar observations without a predefined target field. Forecasting predicts future values over time, normally based on time-series behavior. Because the question specifically describes predicting a target field from other dataset fields and detecting mismatch from the prediction, the correct machine learning method is Regression.
問題 #80
You want to build a query that includes only events that contain a username.
What is a valid analytics query that will perform this type of search?
答案：A
解題說明：
A query using IS NOT NULL returns only events where the User attribute has a value. This is the valid way to filter analytics results to events that contain a username.
問題 #81
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