NSE6_FSM_AN-7.4 Exam Objectives Pdf & Exam NSE6_FSM_AN-7.4 Pass Guide

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Fortinet NSE6_FSM_AN-7.4 Exam Syllabus Topics:

SectionObjectives
Topic 1: Machine Learning, UEBA, and ZTNA- Advanced analytics integration
  • 1. Configure ML configuration tasks
    • 2. Integrate UEBA data into rules and dashboards
      • 3. Describe ZTNA integration in FortiSIEM operations
        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: 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: Analytics- Query and event analysis
                            • 1. Build queries from search results and events
                              • 2. Apply group by and data aggregation on search results
                                • 3. Perform nested query lookups
                                  • 4. Perform CMDB and lookup table queries

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                                    Fortinet NSE 6 - FortiSIEM 7.4 Analyst Sample Questions (Q25-Q30):

                                    NEW QUESTION # 25
                                    Refer to the exhibit.

                                    If you group the events by User , Source IP , and Count attributes, how many results will FortiSIEM display?

                                    Answer: D

                                    Explanation:
                                    Grouping by User, Source IP, and Count means that each unique combination of those three attributes will be treated as a separate result. In the table, all six rows have distinct combinations of User, Source IP, and Count
                                    - so FortiSIEM will display 6 results.
                                    Six because grouping by User , Source IP , and Count creates a separate result for every unique combination of those three selected attributes. The FortiSIEM Study Guide explains this grouping behavior in the single- subpattern rule example: "If multiple VPN login failure events have the same source IP address, reporting device, reporting IP address, and user, they are grouped together in one row, and the count column tracks the number of events for each of those rows." Applying that rule here, FortiSIEM compares all selected Group By fields together. In the exhibit, every row has a unique Source IP address, even where the same user appears more than once. For example, Mike appears twice, but the Source IP and Count values are different. Alice appears twice with Count 2, but the Source IP values are different. Bob appears twice, but both Source IP and Count are different. Since no row has the same User, Source IP, and Count combination as another row, FortiSIEM displays all six rows.


                                    NEW QUESTION # 26
                                    Refer to the exhibit.

                                    Which section contains the subpattern configuration that determines how many matching events are needed to trigger the rule?

                                    Answer: C

                                    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 # 27
                                    Refer to the exhibit.

                                    Which two conditions will match this rule and subpatterns? (Choose two.)

                                    Answer: C,D

                                    Explanation:
                                    The user initiates an RDP session (Subpattern 1) and then fails to log in multiple times (Subpattern 2 with COUNT(Matched Events) > = 3) - both from the same Source IP and User within 300 seconds.
                                    The brute force attempts typically involve a successful RDP connection followed by multiple failed logins, satisfying the sequence and grouping conditions in the rule.
                                    The correct answers are A and B because the rule uses multiple subpatterns and requires them to occur in a defined relationship within the configured time window. The FortiSIEM Study Guide states that rule conditions specify the event attributes and thresholds that trigger the rule and create an incident. It also explains that the time window is the period "within which the subpattern(s) must match for the rule condition to be satisfied," and that when there is more than one subpattern, FortiSIEM requires logic between the subpatterns plus subpattern relationship constraints. In the exhibit, the first subpattern detects an RDP connection and the second detects failed logons. The rule condition uses a sequence relationship, so the failed logon activity must follow the RDP connection and match the relationship constraints, such as same user and source IP. A user using RDP over SSL VPN who fails repeatedly satisfies this logic. A brute-force attack against an RDP server also satisfies the repeated failed-logon requirement after an RDP connection. Failing only twice does not meet the aggregate threshold, and connecting to the wrong IP is not the failed-logon sequence being detected.


                                    NEW QUESTION # 28
                                    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: D

                                    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 # 29
                                    Rules on FortiSIEM are usually processed as events are collected (streaming). How can you create a rule to evaluate events over an 8-hour period?

                                    Answer: C

                                    Explanation:
                                    Setting the Evaluation Mode to Scheduled allows FortiSIEM to evaluate accumulated events over a defined historical period, such as 8 hours, instead of processing events only in real time through streaming evaluation.


                                    NEW QUESTION # 30
                                    ......

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