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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
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
          Machine Learning, UEBA, and ZTNA- Advanced analytics integration
          • 1. Describe ZTNA integration in FortiSIEM operations
            • 2. Configure ML configuration tasks
              • 3. Integrate UEBA data into rules and dashboards
                Analytics- Query and event analysis
                • 1. Build queries from search results and events
                  • 2. Perform CMDB and lookup table queries
                    • 3. Apply group by and data aggregation on search results
                      • 4. Perform nested query lookups
                        Incidents, Notifications, and Remediation- Incident management
                        • 1. Configure notification policies
                          • 2. Manage and tune incidents
                            • 3. Configure remediation options
                              Rules and Subpatterns- Analytics rules configuration
                              • 1. Use rule subpatterns, aggregation, and group by
                                • 2. Identify rule components
                                  • 3. Configure FortiSIEM analytics rules

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                                    Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q27-Q32):

                                    NEW QUESTION # 27
                                    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 a login three or more times to the target device when connecting with RDP.
                                    What is causing the rule to be triggered by correct login events?

                                    Answer: D

                                    Explanation:
                                    The rule uses OR between the RDP connection subpattern and the failed logon subpattern, so either subpattern can trigger the rule independently. This allows successful RDP connection events to generate incidents even when the failed logon condition is not met.


                                    NEW QUESTION # 28
                                    When configuring machine learning (ML), in which step can you modify how the model fits the training data set?

                                    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 # 29
                                    Refer to the exhibit.

                                    Which section contains the subpattern configuration that determines how many matching events are needed to trigger the rule?

                                    Answer: A

                                    Explanation:
                                    The Aggregate section contains the condition COUNT(Matched Events) > = 1, which defines how many events must match the filter criteria for the rule to trigger. This is the subpattern configuration that determines the event threshold.
                                    The correct answer is A. Aggregate . In FortiSIEM rule subpatterns, the Filter section defines which events are eligible for matching, but the Aggregate section defines the statistical or threshold condition that must be satisfied before the subpattern is considered matched. The Study Guide explains that rule conditions are built from subpatterns of event attribute filters and aggregation functions. It also states that a single-subpattern rule is formed by three fields: filters, aggregate, and group by. In the exhibit, the aggregate line is COUNT (Matched Events) > = 1. That expression directly specifies the number of matching events required to satisfy the subpattern. Group By only controls how matching events are partitioned into separate evaluation groups.
                                    Actions define what happens after a rule triggers, such as incident generation or notification. Filters define the event type or attribute criteria, but they do not define the required count threshold. Therefore, the section that determines how many matching events are needed is the Aggregate section.


                                    NEW QUESTION # 30
                                    How can you use the configuration management database (CMDB) in an analytics search?

                                    Answer: D

                                    Explanation:
                                    In an analytics search, FortiSIEM can use devices stored in the CMDB as searchable entities, such as source IP addresses. This allows searches and rule logic to reference known assets from the CMDB instead of relying only on manually entered IP values.


                                    NEW QUESTION # 31
                                    Which two processes run analytical queries and must always be running to perform searches?
                                    (Choose two.)

                                    Answer: A,E

                                    Explanation:
                                    Analytical searches depend on the query master and query worker processes. The master coordinates the query execution, while the workers run the query tasks against the event data so search results can be returned.


                                    NEW QUESTION # 32
                                    ......

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