NSE6_FSM_AN-7.4 Schulungsangebot, NSE6_FSM_AN-7.4 Testing Engine, Fortinet NSE 6 - FortiSIEM 7.4 Analyst Trainingsunterlagen

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

Section	Objectives
Topic 1: Incidents, Notifications, and Remediation	- Incident management 1. Configure remediation options 2. Configure notification policies 3. Manage and tune incidents
Topic 2: Rules and Subpatterns	- Analytics rules configuration 1. Configure FortiSIEM analytics rules 2. Use rule subpatterns, aggregation, and group by 3. Identify rule components
Topic 3: FortiEDR Security Settings and Policies	- Security configuration 1. Explain Fortinet Cloud Service (FCS) 2. Configure playbooks 3. Configure communication control policy 4. Configure security policies
Topic 4: Analytics	- Query and event analysis 1. Apply group by and data aggregation on search results 2. Perform nested query lookups 3. Build queries from search results and events 4. Perform CMDB and lookup table queries
Topic 5: Machine Learning, UEBA, and ZTNA	- Advanced analytics integration 1. Integrate UEBA data into rules and dashboards 2. Describe ZTNA integration in FortiSIEM operations 3. Configure ML configuration tasks

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst NSE6_FSM_AN-7.4 Prüfungsfragen mit Lösungen (Q67-Q72):

67. Frage
You need a model that predicts a target field based on other fields in a dataset and then triggers an anomaly if the value does not match the prediction. Which machine learning (ML) algorithm will you use to build this type of model?

A. Classification
B. Forecasting
C. Regression
D. Anomaly detection

Antwort: C

Begründung:
Regression models predict the value of a target field using other fields as predictors. FortiSIEM can then generate anomalies when the observed value significantly deviates from the predicted value.

68. Frage
An analyst wants to create a rule from a newly created analytics search.
What is the quickest method?

A. Create a new rule under Resources > Rules and fill in the search details.
B. On the upper menu bar on any tab, click the pencil icon.
C. On the Analytics tab, click Actions > Create Rule.
D. On the Analytics tab, click the New button next to the Filter By box.

Antwort: C

Begründung:
The correct answer is A. The FortiSIEM Study Guide explicitly lists Create Rule as one of the actions that can be performed directly from Analytics search results. The guide states that to perform actions on results, an analyst clicks Actions and can choose options such as Email Result, Export Result, Add Result to Case, Copy To New Tab, Save Report, and Create Rule. The rules lesson further explains what happens after clicking Create Rule: FortiSIEM opens a new rule configuration window and creates a subpattern based on the analytics search parameters. It states that FortiSIEM uses the analytics search filter conditions to create the rule subpattern filter conditions, uses the search display conditions to create the rule Group By conditions, and sets the Aggregate condition to COUNT (Matched Events) > = 1. Creating a new rule manually under Resources > Rules would work, but it is slower because the analyst must manually re-enter the search criteria. The direct Analytics > Actions > Create Rule workflow is the quickest method.

69. Frage
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?

A. Clustering
B. Classification
C. Forecasting
D. Regression

Antwort: D

Begründung:
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.

70. Frage
Refer to the exhibit.

An incorrect configuration is shown.
Which setting must you change to successfully apply this configuration to FortiSIEM?

A. Set the Run Mode to ML.
B. Select the same values in the Fields to use for Prediction and Field to Predict sections.
C. Set the algorithm to Anomaly Detection.
D. Set the Train factor to 70% or greater.

Antwort: D

Begründung:
For a regression machine learning job, the train factor must allocate enough data for model training. Setting it to 70% or greater provides sufficient training data so FortiSIEM can successfully apply and train the model configuration.

71. Frage
Which two ways are rule tags used on FortiSIEM? (Choose two.)

A. Zero trust network access (ZTNA) enforcement on FortiClient EMS
B. Event searches
C. Playbook filtering
D. Administrative user permissions

Antwort: B,C

Begründung:
Rule tags help classify and organize rules so analysts can search events or incidents associated with tagged rules. They can also be used to filter playbooks, making it easier to associate the appropriate playbook workflows with specific categories of rule-triggered incidents.

72. Frage
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