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Splunk SPLK-5003 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security Architecture and Defense Design- Risk and governance alignment
  • 1. Measurement of security effectiveness
    • 2. Security program alignment with organizational risk
      - Enterprise security architecture design
      • 1. Design scalable security defense controls
        • 2. Workflow orchestration across SOC environments
          Topic 2: Security Data Management20%- Security data integration strategies
          • 1. Data-driven security architecture design
            • 2. Security data onboarding and normalization approaches
              Topic 3: Advanced Threat Intelligence and Analysis5%- Threat intelligence strategy development
              • 1. Threat intelligence lifecycle integration
                • 2. Confidence scoring and curation of intelligence
                  • 3. Use of open source and commercial intelligence providers
                    - Adversary modeling and emulation
                    • 1. Threat modeling integration into security operations
                      Topic 4: Security Operations Strategy- Security operations planning
                      • 1. Security capability maturity planning
                        • 2. Design of detection and response workflows

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                          Splunk Certified Cybersecurity Defense Architect Sample Questions (Q63-Q68):

                          NEW QUESTION # 63
                          Which approach most effectively minimizes the risk of secret exposure in CI/CD pipelines while also supporting automated deployments?

                          Answer: C

                          Explanation:
                          A dedicated secrets management service minimizes exposure by storing secrets outside source code and CI/CD configuration files, enforcing access controls, audit logging, rotation, and short- lived retrieval by authorized pipeline jobs. This supports automated deployments while reducing the chance that credentials are leaked, reused, or exposed broadly.


                          NEW QUESTION # 64
                          Which of the following best describes how data science, machine learning, behavioral analysis, and AI improve threat detection compared to traditional detection approaches?

                          Answer: B

                          Explanation:
                          Data science, machine learning, behavioral analysis, and AI improve detection by identifying anomalies, relationships, and patterns that may not match predefined signatures or static rules.
                          This helps uncover unusual behavior, emerging threats, and subtle attack activity across large or complex datasets.


                          NEW QUESTION # 65
                          Buttercup Games needs to provide its SOC team access to a wide range of security data sources located across different regions and cloud providers. Which architectural solution allows the SOC analysts to query these data sources as a single logical source without having to migrate or copy all the raw data?

                          Answer: C

                          Explanation:
                          Federated search allows analysts to query data across distributed regions, environments, and cloud providers as though it were a single logical source. It avoids the need to migrate or duplicate all raw data into one central platform while still supporting investigation and search across multiple locations.


                          NEW QUESTION # 66
                          In a CI/CD pipeline, long-running SAST/DAST security scans often have which of the following effects?

                          Answer: C

                          Explanation:
                          Long-running SAST and DAST scans can slow the CI/CD workflow and create friction for developers. When security checks delay builds or deployments too much, developers may try to bypass, defer, or work around those controls, reducing the effectiveness of the security program.


                          NEW QUESTION # 67
                          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: A

                          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 # 68
                          ......

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