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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

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

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                                    Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q19-Q24):

                                    NEW QUESTION # 19
                                    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 # 20
                                    Refer to the exhibit.

                                    What is this rule attempting to match? (Choose one answer)

                                    Answer: C

                                    Explanation:
                                    The rule is matching VPN logon failure events where the Source Country is outside the configured home country . In the exhibit, the filter section shows Event Type IN EventTypes: VPN Logon Failure and Source Country NOT IN GeoCountries: My Home . That means the source must be outside the home- country geo group. The aggregate condition shows COUNT(Matched Events) > = 3 , so the rule is looking for at least three matching failed VPN logon events. The Group By section uses Source IP and User , so FortiSIEM evaluates the count per unique source IP and user combination, not by different countries.
                                    The FortiSIEM Study Guide explains that a rule subpattern contains three components: Filter , Aggregate , and Group By . It states that the filter identifies the matching event group, the aggregate function specifies how many events must match, and Group By combines events with the same grouped attributes into one row while the count tracks those events.
                                    Option A is wrong because the rule does not count different countries. Options C and D are wrong because the source country is explicitly NOT IN My Home, not inside the home country.


                                    NEW QUESTION # 21
                                    Refer to the exhibit. Which two things that happen when this automation policy triggers? (Choose two.)

                                    Answer: A,D

                                    Explanation:
                                    The automation policy has Send Email/SMS/Webhook to the target users enabled, so an email notification is sent. It also has Run Remediation/Script enabled, so the configured remediation script is executed when the policy triggers.


                                    NEW QUESTION # 22
                                    When using user and entity behavior analytics (UEBA) on FortiSIEM, what must you use to dynamically supply a list of IP addresses to a FortiGate device for blocking purposes?

                                    Answer: D


                                    NEW QUESTION # 23
                                    You need a model that predicts a target field based on other fields in a dataset and then triggers an anomaly if the value does not match the prediction. Which machine learning (ML) algorithm will you use to build this type of model?

                                    Answer: A

                                    Explanation:
                                    Regression models predict the value of a target field using other fields as predictors. FortiSIEM can then generate anomalies when the observed value significantly deviates from the predicted value.


                                    NEW QUESTION # 24
                                    ......

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