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Fortinet NSE6_FSR_AN-7.6 Exam Syllabus Topics:

SectionWeightObjectives
Incident handling with FortiSOAR- Perform incident handling operations
  • 1. Use FortiSOAR workflows for response activities
    • 2. Manage security incidents
      FortiSOAR playbook development- Develop and manage playbooks
      • 1. Configure playbook steps
        • 2. Create automation workflows
          FortiSOAR modules, templates, dashboards, and widgets- Create and manage modules
          • 1. Configure templates
            • 2. Create dashboards and widgets
              FortiSOAR architecture and data models20-30%- Analyze FortiSOAR data model
              • 1. Agent connectivity
                • 2. Solution pack content
                  • 3. Use cases: picklist, module, and visual correlation
                    • 4. SME, agents, tenant nodes
                      - Implement access control
                      • 1. Access control
                        - Debug and troubleshoot playbooks
                        • 1. Key log files
                          • 2. Executed playbook logs
                            • 3. Service status
                              - Identify common playbook and connector issues
                              • 1. Playbook logging level
                                • 2. Step input and output
                                  • 3. Evaluated arguments
                                    • 4. Executed playbook logs
                                      - Use the Jinja editor to troubleshoot Jinja expressions
                                      • 1. Jinja use cases
                                        • 2. Jinja expressions
                                          - Identify FortiSOAR deployment models
                                          • 1. SOAR and SIEM comparison
                                            • 2. Introduction to automation and orchestration
                                              • 3. Different deployment models
                                                • 4. Content Hub
                                                  • 5. Interface navigation
                                                    • 6. Automation and orchestration comparison
                                                      • 7. FortiSOAR system architecture

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                                                        Fortinet NSE 6 - FortiSOAR 7.6 Analyst Sample Questions (Q19-Q24):

                                                        NEW QUESTION # 19
                                                        Which two statements about Elasticsearch are true? (Choose two.)

                                                        Answer: B,C

                                                        Explanation:
                                                        Elasticsearch in FortiSOAR is used for its robust data handling capabilities, allowing rapid storage, searching, and analysis of vast amounts of data in near real-time. Its integration with FortiSOAR's global search enables efficient querying across all records, providing quick response times and a seamless user experience. The Elasticsearch database is crucial for handling extensive datasets and delivering swift search results, making it integral to FortiSOAR's performance and data management capabilities.


                                                        NEW QUESTION # 20
                                                        Select two statements that are true about FortiSOAR themes.
                                                        (Choose two.)

                                                        Answer: C,D


                                                        NEW QUESTION # 21
                                                        When configuring an HA cluster with an externalized PostgreSQL database, which two tiles on the database server need to be configured to trust all FortiSOAR nodes' incoming connections? (Choose two.)

                                                        Answer: A,B

                                                        Explanation:
                                                        In a FortiSOAR High Availability (HA) cluster setup with an externalized PostgreSQL database, it is necessary to configure the database server to allow incoming connections from all FortiSOAR nodes. This configuration involves modifying the pg_hba.conf file to set up host-based authentication and control which IP addresses can connect. The postgresql.conf file must also be adjusted to enable listening on all necessary IP addresses, which is critical for FortiSOAR nodes to connect to the database server securely and reliably. Together, these configurations ensure that all FortiSOAR nodes can access the database, facilitating effective HA functionality.


                                                        NEW QUESTION # 22
                                                        Which two relationship types are configurable on FortiSOAR?
                                                        (Choose two.)

                                                        Answer: A,D


                                                        NEW QUESTION # 23
                                                        Refer to the exhibit.

                                                        Which two statements about the recommendation engine are true? (Choose two.)

                                                        Answer: B,C

                                                        Explanation:
                                                        The Recommendation Engine in FortiSOAR is designed to assist in alert triage by suggesting values for certain fields based on historical data and machine learning models. In this case, the engine is trained to predict both the Severity and Type fields, suggesting values that align with past incidents and threat intelligence. Although the current alert severity is High, the recommendation engine has suggested adjusting it to Medium based on the pattern of similar past alerts, indicating a less critical threat level than initially perceived. This functionality helps analysts by providing data-driven insights, which can optimize alert handling and resource allocation.


                                                        NEW QUESTION # 24
                                                        ......

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