NSE6_FSM_AN-7.4 Exam tool - NSE6_FSM_AN-7.4 Test Torrent & Fortinet NSE 6 - FortiSIEM 7.4 Analyst study materials

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
Incidents, Notifications, and Remediation- Incident management
  • 1. Manage and tune incidents
    • 2. Configure remediation options
      • 3. Configure notification policies
        Analytics- Query and event analysis
        • 1. Perform CMDB and lookup table queries
          • 2. Apply group by and data aggregation on search results
            • 3. Perform nested query lookups
              • 4. Build queries from search results and events
                Rules and Subpatterns- Analytics rules configuration
                • 1. Use rule subpatterns, aggregation, and group by
                  • 2. Identify rule components
                    • 3. Configure FortiSIEM analytics rules
                      FortiEDR Security Settings and Policies- Security configuration
                      • 1. Configure communication control policy
                        • 2. Explain Fortinet Cloud Service (FCS)
                          • 3. Configure playbooks
                            • 4. Configure security policies
                              Machine Learning, UEBA, and ZTNA- Advanced analytics integration
                              • 1. Configure ML configuration tasks
                                • 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 (Q14-Q19):

                                    NEW QUESTION # 14
                                    Which two processes run analytical queries and must always be running to perform searches?
                                    (Choose two.)

                                    Answer: B,C

                                    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 # 15
                                    Which two attributes can you not select together in the Group By and Display Fields? (Choose two.)

                                    Answer: A,D


                                    NEW QUESTION # 16
                                    Refer to the exhibit.

                                    Which statement about the time range settings defined in the nested query is accurate?

                                    Answer: A

                                    Explanation:
                                    The main analytics search uses the last 10 minutes as the event time range. The nested query uses the Approved Devices report generated from the last 30 days, so FortiSIEM compares recent source IP addresses against that 30-day approved-device result set.


                                    NEW QUESTION # 17
                                    Refer to the exhibit.
                                    The configuration for a machine learning (ML) dataset using anomaly detection is shown.

                                    If data for this model is generated every hour, how long must the FortiSIEM device be up before it can produce a valid training set?

                                    Answer: D

                                    Explanation:
                                    The Windows parameter is set to 10, meaning FortiSIEM requires 10 data windows to build a valid training baseline. Since data is generated every hour, the device must collect 10 hours of data before producing a valid training set.


                                    NEW QUESTION # 18
                                    Which two data areas can you use for user and entity behavior analytics (EBA) machine learning models?
                                    (Choose two.)

                                    Answer: A,B

                                    Explanation:
                                    The correct answers are A. Process and C. Resources. FortiSIEM UEBA/EBA analytics uses endpoint and behavior-related telemetry to identify abnormal activity. The Study Guide explains that the UEBA incident dashboard shows incidents that the AI module creates based on alerts received from FortiInsight. The UEBA attribute list includes the incident name, host, application, user, tag, and activity. This aligns with process-oriented activity monitoring from endpoint agents. The performance and baseline lessons also explain that FortiSIEM collects performance and availability data from devices and applications, including resource-utilization metrics, and uses that information to build baselines and detect anomalous activity. Resource behavior includes CPU, memory, disk, I/O, and similar utilization patterns, which are valid behavioral-model inputs. Location and Network are important FortiSIEM context areas, but in this question's EBA machine learning model choices, the valid model areas are process behavior and resource behavior. Process reflects what is running or being executed; Resources reflects system or application utilization behavior. Together, these are the two data areas used for EBA machine learning models.


                                    NEW QUESTION # 19
                                    ......

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