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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
Topic 1: Rules and Incident Management- Incidents and Notifications
  • 1. Configure remediation options
  • 2. Configure notification policies
  • 3. Manage and tune incidents
- Rules and Alerts
  • 1. Identify various rule components
  • 2. Utilize rule subpatterns, aggregation, group by
  • 3. Configure FortiSIEM analytics rules
Topic 2: FortiEDR and Security Policy Integration- FortiEDR Security Configuration
  • 1. Configure security policies
  • 2. Configure playbooks
  • 3. Explain Fortinet Cloud Service (FCS)
  • 4. Configure communication control policy
Topic 3: Analytics and Search- Query and Event Analysis
  • 1. Perform CMDB and lookup table queries
  • 2. Build queries from search results and events
  • 3. Perform nested query lookups
  • 4. Apply group by and data aggregation
Topic 4: Advanced Analytics and Integrations- ML, UEBA, and ZTNA
  • 1. Configure machine learning (ML) settings
  • 2. Describe ZTNA integration in FortiSIEM operations
  • 3. Integrate UEBA data into rules and dashboards

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q55-Q60):

NEW QUESTION # 55
An analyst wants to create a rule from a newly created analytics search.
What is the quickest method?

Answer: A

Explanation:
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.


NEW QUESTION # 56
Refer to the exhibit.

Which two conditions will match this rule and subpatterns? (Choose two.)

Answer: B,D

Explanation:
The user initiates an RDP session (Subpattern 1) and then fails to log in multiple times (Subpattern 2 with COUNT(Matched Events) > = 3) - both from the same Source IP and User within 300 seconds.
The brute force attempts typically involve a successful RDP connection followed by multiple failed logins, satisfying the sequence and grouping conditions in the rule.
The correct answers are A and B because the rule uses multiple subpatterns and requires them to occur in a defined relationship within the configured time window. The FortiSIEM Study Guide states that rule conditions specify the event attributes and thresholds that trigger the rule and create an incident. It also explains that the time window is the period "within which the subpattern(s) must match for the rule condition to be satisfied," and that when there is more than one subpattern, FortiSIEM requires logic between the subpatterns plus subpattern relationship constraints. In the exhibit, the first subpattern detects an RDP connection and the second detects failed logons. The rule condition uses a sequence relationship, so the failed logon activity must follow the RDP connection and match the relationship constraints, such as same user and source IP. A user using RDP over SSL VPN who fails repeatedly satisfies this logic. A brute-force attack against an RDP server also satisfies the repeated failed-logon requirement after an RDP connection. Failing only twice does not meet the aggregate threshold, and connecting to the wrong IP is not the failed-logon sequence being detected.


NEW QUESTION # 57
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?

Answer: B

Explanation:
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.


NEW QUESTION # 58
In an automation policy, which two methods can you use for notifications when an incident is triggered? (Choose two.)

Answer: A,B

Explanation:
Automation policies can notify users or external systems when an incident is triggered by sending email notifications or SNMP traps. These notification actions are configured in the automation policy action settings.


NEW QUESTION # 59
You want FortiSIEM to automatically add three zero trust network access (ZTNA) tags to a device when that device triggers a custom rule. You want FortiSIEM to push these ZTNA tags to multiple FortiClient EMS servers in the organization. How can you accomplish this?

Answer: D

Explanation:
A single playbook can contain multiple connectors, allowing FortiSIEM to push the required ZTNA tags simultaneously to multiple FortiClient EMS servers when the custom rule is triggered.


NEW QUESTION # 60
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