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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. Perform CMDB and lookup table queries
      • 3. Apply group by and data aggregation on search results
        • 4. Build queries from search results and events
          Topic 2: Rules and Subpatterns- Analytics rules configuration
          • 1. Use rule subpatterns, aggregation, and group by
            • 2. Configure FortiSIEM analytics rules
              • 3. Identify rule components
                Topic 3: 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 4: FortiEDR Security Settings and Policies- Security configuration
                      • 1. Configure security policies
                        • 2. Explain Fortinet Cloud Service (FCS)
                          • 3. Configure communication control policy
                            • 4. Configure playbooks
                              Topic 5: Incidents, Notifications, and Remediation- Incident management
                              • 1. Configure remediation options
                                • 2. Configure notification policies
                                  • 3. Manage and tune incidents

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

                                    NEW QUESTION # 19
                                    What feature defines when an incident is created by FortiSIEM?

                                    Answer: D


                                    NEW QUESTION # 20
                                    Refer to the exhibit. When the subpattern is matched, what does the time condition of 60 seconds mean?

                                    Answer: C

                                    Explanation:
                                    The 60-second time window defines the aggregation and evaluation period for the rule. FortiSIEM evaluates whether the specified subpattern conditions occur within that 60-second interval before triggering the rule.


                                    NEW QUESTION # 21
                                    Refer to the exhibit.

                                    The configuration shown in the exhibit is incorrect.
                                    What must you change to allow this configuration to be successfully applied to FortiSIEM?

                                    Answer: A

                                    Explanation:
                                    The correct answer is A . In FortiSIEM machine learning training, the Train factor controls how much of the prepared dataset is used for training and how much is reserved for testing. The FortiSIEM 7.4 User Guide states in the regression training procedure that the analyst must choose the Train factor and that it "should be greater than 70%." It also explains the meaning of the value: 70% of the data is used for training and 30% is used for testing. This directly supports option A. Option B is incorrect because the supported running modes include Local, Local Auto, and AWS; "ML" is not the required run mode. Option C is incorrect because regression can use multiple fields for prediction; the guide instructs the user to choose the fields to use for prediction and the field to predict. Option D is incorrect because prediction input fields and target field should not be the same. Regression builds a model to predict a target field based on other fields, so the configuration must use a valid Train factor rather than matching predictor and target fields.


                                    NEW QUESTION # 22
                                    Refer to the exhibit.

                                    An analyst wants to perform a KMeans machine learning (ML) job on this data.
                                    How many N clusters would be a good fit for the data?

                                    Answer: D

                                    Explanation:
                                    The scatter plot shows two visually distinct groupings of data points, making two clusters an appropriate fit for a KMeans ML job.


                                    NEW QUESTION # 23
                                    When selecting multiple rules at once on FortiSIEM, what actions can you perform?

                                    Answer: D

                                    Explanation:
                                    The correct answer is A. FortiSIEM supports bulk rule operations for selected rules. The FortiSIEM
                                    7.4 User Guide states that if you have permission to activate a rule, you can activate or deactivate multiple rules with a single click. The procedure instructs the user to go to Resources > Rules, click the edit icon, select Multiple Rules, choose the rules, and then use the Select Actions panel. In that panel, the guide states that you can select a Severity from the Severity drop-down list to change the selected rules, and you can also select or deselect active status options for new or existing organizations to make the selected rules active or inactive. This proves that both operations are available: severity changes and activation/deactivation changes. Option B is too restrictive because FortiSIEM allows multiple-rule selection. Option C is incomplete because activation/deactivation is also supported. Option D is incomplete because severity changes are also supported. Therefore, the correct answer is that you can change severity and activate or deactivate multiple selected rules.


                                    NEW QUESTION # 24
                                    ......

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