Free PDF Fortinet - NSE6_FSM_AN-7.4 - Fortinet NSE 6 - FortiSIEM 7.4 Analyst Newest Reliable Exam Cram

The web-based Fortinet NSE6_FSM_AN-7.4 mock test is compatible with mamy systems. This version of the Fortinet NSE6_FSM_AN-7.4 practice exam requires an active internet connection. It does not require any additional plugins or software installation to operate. Furthermore, others also support the NSE6_FSM_AN-7.4 web-based practice exam. Features of the NSE6_FSM_AN-7.4 desktop practice exam software are web-based as well.

Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q48-Q53):

NEW QUESTION # 48
In an automation policy, which two methods can you use to notify analysts when an incident is triggered?
(Choose two.)

A. Syslog
B. Pop-up window
C. FortiSIEM Case
D. Email

Answer: C,D

Explanation:
The correct answers are A. Email and B. FortiSIEM Case. FortiSIEM automation policies can notify or route work to analysts when an incident is triggered. The Study Guide describes the incident notification email workflow and explains that when an incident triggers and an automation policy is defined, FortiSIEM can send a notification email using the default template. It also explains that notification frequency is configured per rule and that repeated incident notifications are controlled by the frequency timer. The FortiSIEM 7.4 User Guide also describes automated case creation through automation policy. It states that an automation policy can use the action Create Case when an incident is created, and that a case management policy can assign FortiSIEM Analyst Teams in an ordered handling sequence. Syslog is not listed as one of the analyst notification methods in the automation policy options shown in this question; FortiSIEM supports SNMP and webhook-style actions, but not
"Syslog" as the listed answer. A pop-up window is not an automation policy notification method.
Therefore, the two correct analyst-notification/routing methods are Email and FortiSIEM Case.

NEW QUESTION # 49
When selecting multiple rules at once on FortiSIEM, which actions can you perform?

A. You can change the severity, activate, or deactivate multiple rules at a time.
B. You can view, edit, or activate only one rule at a time
C. You can only change the severity of multiple rules at a time.
D. You can only activate or deactivate multiple rules at a time.

Answer: A

Explanation:
FortiSIEM allows bulk management of rules, including changing severity levels and activating or deactivating multiple rules simultaneously to simplify administration and policy management.

NEW QUESTION # 50
An analyst wants to run a remediation playbook when a user fails a VPN login five times from an external machine. Where do they associate the remediation playbook with the triggering rule?

A. In an incident policy
B. In an automation policy
C. In the associated rule under Action
D. In the associated playbook under Remediation

Answer: C

Explanation:
A remediation playbook is associated directly with the rule in the Action section. When the rule conditions are met and the incident is triggered, FortiSIEM can run the configured playbook as part of the rule's automated response.

NEW QUESTION # 51
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?

A. Add the devices to a rule exclusion automation policy.
B. Add them to the global exclusion list.
C. Add them to a device group that is being filtered by the rules.
D. Add their associated discovery credentials.

Answer: C

Explanation:
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.

NEW QUESTION # 52
When configuring machine learning (ML), in which step can you modify how the model fits the training data set?

A. Prepare Data
B. Train
C. Statistics
D. Design

Answer: B

Explanation:
The correct answer is B. Train. In FortiSIEM machine learning, the Train step is where the model is built from the prepared dataset and where model-fitting behavior can be adjusted. The FortiSIEM 7.4 User Guide explains that after preparing data, the analyst goes to Analytics > Machine Learning > Train, selects the machine learning task, chooses the algorithm, selects the prediction/target fields when required, and chooses the Train factor, which determines how much data is used for training versus testing. The guide states that the Train factor should be greater than 70%, meaning 70% of the data is used for training and 30% for testing. It also explains that model quality metrics show how accurately the algorithm predicts the field. For regression, lower MAE means a better fit, and R2 shows how well predictions approximate real data points. Most importantly, the guide states: "If you want to change the algorithm parameters and re-train, then click Tune & Train, change the parameters and click Save
& Train." This confirms that modifying how the model fits the training dataset is done in the Train step, not Prepare Data, Statistics, or Design.

NEW QUESTION # 53
......

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