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Splunk SPLK-5003 Exam Syllabus Topics:

SectionWeightObjectives
Advanced Threat Intelligence and Analysis5%- Threat intelligence strategy development
  • 1. Threat intelligence lifecycle integration
    • 2. Use of open source and commercial intelligence providers
      • 3. Confidence scoring and curation of intelligence
        - Adversary modeling and emulation
        • 1. Threat modeling integration into security operations
          Security Architecture and Defense Design- Risk and governance alignment
          • 1. Security program alignment with organizational risk
            • 2. Measurement of security effectiveness
              - Enterprise security architecture design
              • 1. Design scalable security defense controls
                • 2. Workflow orchestration across SOC environments
                  Security Data Management20%- Security data integration strategies
                  • 1. Security data onboarding and normalization approaches
                    • 2. Data-driven security architecture design
                      Security Operations Strategy- Security operations planning
                      • 1. Design of detection and response workflows
                        • 2. Security capability maturity planning

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                          Splunk Certified Cybersecurity Defense Architect Sample Questions (Q144-Q149):

                          NEW QUESTION # 144
                          Buttercup games has implemented over 100 detections in their SOC. These detections consist mostly of vendor provided signatures and field matching that have been tuned, with a few that have been custom built. What more advanced detection methods should they deploy?

                          Answer: D

                          Explanation:
                          An outlier-based algorithm is a more advanced detection method because it uses behavioral or statistical analysis to identify activity that deviates from expected patterns. This moves beyond tuned signatures and field matching into anomaly-based detection, which can help uncover unknown or subtle threats.


                          NEW QUESTION # 145
                          During a purple team exercise, the red team successfully executed a lateral movement attack that went undetected by the SOC. The security architect discovers that the Windows Event Logs necessary to detect the attack are being ingested, but the specific correlation search did not trigger. Which of the following is the BEST next step to improve detection?

                          Answer: D

                          Explanation:
                          If the required telemetry (data) is successfully ingested but the alert failed to fire, the gap lies in the detection logic itself. Reviewing the search to ensure it looks for the correct fields, expected Event IDs, and is properly aligned with the Common Information Model (CIM) is the best approach to close this specific detection gap.


                          NEW QUESTION # 146
                          Sophia manages data ingestion for her organization's SIEM. The data science team wants to perform real-time analytics on security data and asks Sophia for a copy of all new endpoint telemetry from the current point forward. The SIEM currently collects 15TB of endpoint telemetry every day. Which of the following solutions can Sophia use to best help the data science team?

                          Answer: D

                          Explanation:
                          A message bus is the best solution because it enables endpoint telemetry to be streamed from the point of collection to multiple consumers in real time. This supports both SIEM ingestion and the data science team's analytics needs without relying on large historical exports, delayed batch reports, or inefficient nightly file generation for 15TB of daily telemetry.


                          NEW QUESTION # 147
                          What is a SBOM?

                          Answer: A

                          Explanation:
                          A Software Bill of Materials is an inventory of the software components, libraries, packages, and dependencies used in an application or system. It helps organizations understand software supply chain risk, track vulnerable components, and support vulnerability management.


                          NEW QUESTION # 148
                          A cybersecurity engineering team is looking to increase its insight into security-relevant activities on Windows hosts. They are already importing a subset of Windows Event Logs but seek more visibility into process creation, process image hashes, and driver/DLL load events. What log types should be prioritized to improve visibility and detection footprint? (Choose all that apply.)

                          Answer: B,C

                          Explanation:
                          Sysmon logs provide detailed Windows host telemetry such as process creation, file hashes, network connections, and driver or DLL load activity. EDR logs also provide endpoint-level visibility into process behavior, execution chains, file activity, and suspicious host events, making them valuable for improving detection coverage on Windows systems.


                          NEW QUESTION # 149
                          ......

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