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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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                                    Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q59-Q64):

                                    NEW QUESTION # 59
                                    Which information can FortiSIEM retrieve from FortiClient EMS through an API connection?

                                    Answer: B

                                    Explanation:
                                    The correct answer is D. ZTNA tags. FortiSIEM 7.4 includes FortiEMS endpoint tagging integration.
                                    The FortiSIEM 7.4 User Guide states that FortiSIEM supports discovery of FortiEMS servers by using the FortiEMS Management Server API with basic username/password authentication. It also explains that after FortiEMS discovery, FortiSIEM can tag or untag a host by using classification tags on the FortiEMS server. In a ZTNA deployment, those tags are imported by member Fortinet devices, especially FortiGate firewalls, and are referenced in ZTNA firewall rules. The guide gives a common use case in which a host is tagged as suspicious or potentially compromised so firewall rules can isolate it or allow only minimal traffic. Host software versions, FortiSIEM license information, and host login credentials are not the FortiEMS API information relevant to this ZTNA tagging workflow. The API integration supports retrieving FortiEMS-managed host context and using classification/ZTNA tags for automated response and policy enforcement.


                                    NEW QUESTION # 60
                                    Which two categories can you map to the MITRE ATT&CK coverage tables on FortiSIEM?
                                    (Choose two.)

                                    Answer: B,C

                                    Explanation:
                                    FortiSIEM maps Rules and Threats to the MITRE ATT&CK coverage tables to correlate detections and threat intelligence with ATT&CK tactics and techniques for security analysis and reporting.


                                    NEW QUESTION # 61
                                    In an automation policy, which two methods can you use for notifications when an incident is triggered? (Choose two.)

                                    Answer: B,C

                                    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 # 62
                                    You are creating a rule to fill a gap in your organization's MITRE ATT&CK rule coverage matrix.
                                    How can you associate the rule with an appropriate tactics, techniques and procedures (TTP) category?

                                    Answer: B

                                    Explanation:
                                    A rule is associated with MITRE ATT&CK coverage by configuring the relevant tactics, techniques, and procedures category in the rule properties. This mapping is applied as part of the rule configuration so incidents generated by the rule contribute to the appropriate coverage category.


                                    NEW QUESTION # 63
                                    When configuring anomaly detection machine learning, in which step must you select the fields to analyze?

                                    Answer: D

                                    Explanation:
                                    The correct answer is A. Design. In the FortiSIEM 7.4 User Guide's anomaly detection workflow, the first configuration step is Step 1: Design. In that step, FortiSIEM requires the analyst to identify the fields that will be analyzed by the machine learning job. The guide states that under Design, the analyst must identify Fields to Analyze, and explains that these fields are considered for anomaly detection and must currently be numerical fields. The guide also identifies the time field requirement for statistical deviation algorithms and notes that a FortiSIEM report is used to provide the dataset. The Prepare Data step comes later and is used to load or prepare the data source for training. The Train step runs the algorithm against the prepared dataset. The Schedule step is used after training to run inference.
                                    Therefore, the selection of fields to analyze belongs to the Design phase, not Prepare Data, Train, or Schedule. This sequence matters because FortiSIEM must know which numerical fields are relevant before it can prepare, train, or run inference on the machine learning job.


                                    NEW QUESTION # 64
                                    ......

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