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

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                                    Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q52-Q57):

                                    NEW QUESTION # 52
                                    In an automation policy, which two methods can you use to notify analysts when an incident is triggered? (Choose two.)

                                    Answer: A,D


                                    NEW QUESTION # 53
                                    Refer to the exhibit.

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

                                    Answer: B

                                    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 # 54
                                    Refer to the exhibit.

                                    If you apply this Group By and Display Fields configuration to a list of network connections, which information will FortiSIEM display?

                                    Answer: B

                                    Explanation:
                                    Grouping by Source IP and Destination IP causes FortiSIEM to aggregate events into unique source-to-destination connection pairs. The matched-events count is displayed for each unique pair, showing how many connections or matching events exist for that grouped relationship.


                                    NEW QUESTION # 55
                                    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: B


                                    NEW QUESTION # 56
                                    Refer to the exhibit.

                                    An analyst wants the rule shown in the exhibit to trigger when three failed login attempts occur within three minutes.
                                    What should the values be for the condition time window and aggregate count?

                                    Answer: C

                                    Explanation:
                                    To detect three failed login attempts within three minutes, you must set the aggregate count to 3 in the subpattern and the time window to 180 seconds in the rule condition. This ensures the rule triggers only if three or more failed logins occur in that timeframe.
                                    The correct answer is A because three minutes equals 180 seconds, and the aggregate threshold must be set to three matching events. The FortiSIEM Study Guide explains that rule conditions specify event attributes and thresholds that trigger the rule and create an incident. It further states that the time window defines the period within which the subpattern must match for the rule condition to be satisfied. The Study Guide's single- subpattern rule example shows the same principle: the condition has a configured time window, and the Aggregate section uses a function such as COUNT(Matched Events) to require a minimum number of matching events. In this question, the analyst wants the rule to trigger when three failed login attempts happen within three minutes . Therefore, the rule condition time window must be 180 seconds , and the aggregate count must be 3 . A 90-second window would detect only events inside one and a half minutes, not the required three minutes. An aggregate count of 2 would trigger too early because the requirement is three failed attempts.


                                    NEW QUESTION # 57
                                    ......

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