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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
Topic 1: Rules and Subpatterns- Analytics rules configuration
  • 1. Use rule subpatterns, aggregation, and group by
    • 2. Configure FortiSIEM analytics rules
      • 3. Identify rule components
        Topic 2: 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 3: Machine Learning, UEBA, and ZTNA- Advanced analytics integration
                • 1. Configure ML configuration tasks
                  • 2. Integrate UEBA data into rules and dashboards
                    • 3. Describe ZTNA integration in FortiSIEM operations
                      Topic 4: Incidents, Notifications, and Remediation- Incident management
                      • 1. Configure notification policies
                        • 2. Manage and tune incidents
                          • 3. Configure remediation options
                            Topic 5: Analytics- Query and event analysis
                            • 1. Perform nested query lookups
                              • 2. Perform CMDB and lookup table queries
                                • 3. Apply group by and data aggregation on search results
                                  • 4. Build queries from search results and events

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                                    NSE6_FSM_AN-7.4 Valid Test Question - NSE6_FSM_AN-7.4 Exam Forum

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                                    Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q75-Q80):

                                    NEW QUESTION # 75
                                    Which analytics search can be used to apply a user and entity behavior analytics (UEBA) tag to an event for a failed login by the user JSmith?

                                    Answer: B

                                    Explanation:
                                    The best matching analytics search is Username CONTAIN smit. The FortiSIEM Analytics lesson explains keyword and attribute matching by using the CONTAIN operator for searching values inside raw logs or attributes. The Study Guide gives a direct example of FortiSIEM translating keyword logic into a condition such as "Raw Event Log CONTAIN TCP." That shows the operator is designed for substring-style matching rather than full-value equality. For a user such as JSmith, the string fragment smit is contained inside the username value, so the condition can match events where the username appears as JSmith, jsmith, or possibly in a longer identity string such as a domain-qualified username.
                                    Option A is wrong because smith is not the complete username and uses an equality-style comparison.
                                    Option B is wrong because it excludes usernames ending in jsmith. Option C uses the wrong operator form for this context. Therefore, the practical FortiSIEM analytics condition that can match the target failed-login event is Username CONTAIN smit.


                                    NEW QUESTION # 76
                                    Refer to the exhibit.

                                    What will happen when a device being analyzed by the machine learning configuration shown in the exhibit has consistently high memory utilization?

                                    Answer: B

                                    Explanation:
                                    The exhibit shows a machine learning Regression configuration. In FortiSIEM regression, selected numerical fields are used as predictors, and another field is selected as the value to predict. The FortiSIEM 7.4 User Guide's Machine Learning section lists Regression separately and describes the training workflow, including selecting fields used by the algorithm. The exhibit shows Memory Utilization, Sent Bytes, and Received Bytes selected under Fields to use for Prediction, while CPU Utilization is selected under Field to Predict. This means Memory Utilization is an input variable used by the model. If memory utilization is consistently high during training or retraining, that higher value becomes part of the learned model pattern. FortiSIEM does not automatically trigger a high-memory incident merely because a regression input value is high; an incident would require inference behavior and an anomaly action or rule configuration. Option C is also wrong because FortiSIEM does not dynamically lower a CPU trigger threshold just because memory is high. The correct behavior is model update based on the higher observed input value.


                                    NEW QUESTION # 77
                                    Refer to the exhibit.

                                    A FortiSIEM analyst is investigating an issue by examining events related to two destination IP addresses. However, the analyst is not getting any results from the search.
                                    Based on the selected filters shown in the exhibit, why is the search returning no results?

                                    Answer: B

                                    Explanation:
                                    The boolean operator between the two destination IP filters is set to AND, meaning FortiSIEM searches for events where the Destination IP is simultaneously 10.10.10.1 and 192.168.1.1, which is impossible. Changing the operator to OR would return events matching either IP address, producing the expected results.


                                    NEW QUESTION # 78
                                    Which information can FortiSIEM retrieve from FortiClient EMS through an API connection?

                                    Answer: B

                                    Explanation:
                                    FortiSIEM can retrieve ZTNA tags from FortiClient EMS through an API connection, enabling dynamic user and device classification for policy enforcement and incident response.


                                    NEW QUESTION # 79
                                    In an automation policy, which two methods can you use to notify analysts when an incident is triggered?
                                    (Choose two.)

                                    Answer: A,C

                                    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 # 80
                                    ......

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