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ECCouncil 312-97 Exam Syllabus Topics:

SectionObjectives
Security Operations & Monitoring- Continuous monitoring
  • 1. Security incident detection
    • 2. Logging and alerting
      - Incident response
      • 1. Response automation
        • 2. Post-incident analysis
          DevSecOps Pipeline Integration- Toolchain security
          • 1. SAST/DAST tools
            • 2. Dependency and artifact scanning
              - CI/CD security integration
              • 1. Secure build and deployment pipelines
                • 2. Pipeline automation security controls
                  Cloud & Container Security- Cloud security fundamentals
                  • 1. AWS / Azure security controls
                    • 2. IAM and identity management
                      - Container security
                      • 1. Kubernetes security basics
                        • 2. Docker security
                          Compliance, Risk & Governance- Compliance frameworks
                          • 1. Audit and governance controls
                            • 2. Security policy enforcement
                              - Risk management
                              • 1. Vulnerability management lifecycle
                                • 2. Security risk assessment
                                  Secure Software Development Lifecycle (SDLC)- Secure requirements and design principles
                                  • 1. Threat modeling in SDLC
                                    • 2. Secure architecture design
                                      - Secure coding practices
                                      • 1. Vulnerability prevention techniques
                                        • 2. Code review and static analysis

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                                          ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q34-Q39):

                                          NEW QUESTION # 34
                                          A multinational retail company is adopting AWS to modernize its software development lifecycle and improve automation, scalability, and deployment efficiency. The DevOps team is currently facing several challenges, including manual code compilation and testing, slow-release cycles, and frequent deployment errors that lead to application downtime. To address these issues, the company plans to integrate AWS DevOps services to optimize its CI/CD pipeline. The team needs a solution that can compile source code, run automated tests, and generate deployment-ready artifacts without requiring manual setup or server management. By implementing this solution, they aim to process multiple builds in parallel, improve test automation, and accelerate software delivery. Which AWS DevOps service should the company use to meet this requirement?

                                          Answer: C

                                          Explanation:
                                          AWS CodeBuild is the fully managed build service that compiles source code, runs automated tests, and produces deployment-ready artifacts-scaling to process multiple builds in parallel with no servers to manage. CodePipeline orchestrates the workflow, CodeDeploy performs deployments, and CodeCatalyst is a broader unified DevOps service, but the described build/test/artifact capability is CodeBuild.


                                          NEW QUESTION # 35
                                          Steven Smith has been working as a DevSecOps engineer in an IT company that develops software products related to the financial sector. His team leader asked him to integrate Conjur with Jenkins to secure the secret credentials. Therefore, Steven downloaded Conjur.hpi file and uploaded it in the Upload Plugin section of Jenkins. He declared host and layers, and declared the variables. Which of the following commands should Steven use to set the value of variables?

                                          Answer: B

                                          Explanation:
                                          In Conjur secret management, variables are first declared in policy files and then populated with actual secret values using the Conjur CLI. The correct command to assign a value to a variable is conjur variable set, where the -i option specifies the fully qualified policy path of the variable name, and the -v option specifies the secret value to be stored securely. This command writes the secret into Conjur's encrypted vault and associates it with the declared variable so that Jenkins jobs can retrieve it securely at runtime. The other options misuse flags or reverse their meanings, which would result in invalid commands or incorrect secret handling. Integrating Conjur with Jenkins during the Build and Test stage ensures that sensitive credentials such as passwords, API keys, and tokens are never hard-coded in pipeline scripts or source code.
                                          Instead, secrets are dynamically fetched when required, supporting least-privilege access, auditability, and compliance requirements--critical for financial-sector applications.


                                          NEW QUESTION # 36
                                          Sophia, a DevSecOps engineer, is working on improving the security posture of her organization's cloud-native applications. She wants to integrate continuous threat modeling directly into the software development process to ensure that developers can identify security risks while writing code. To achieve this, she introduces a tool that allows developers to annotate source code with security concerns, generate data flow diagrams (DFDs), and create threat model reports dynamically. This approach enables real-time visibility into security risks and bridges the gap between development and security teams. Which tool should Sophia use to achieve this?

                                          Answer: B

                                          Explanation:
                                          ThreatSpec lets developers annotate source code with security concerns (threats, mitigations, transfers) inline as comments, then generates data-flow diagrams and threat model reports dynamically-embedding continuous threat modeling directly into the development workflow, exactly as Sophia needs. Threagile models from YAML files, Bandit is a Python SAST tool, and Jira is issue tracking.


                                          NEW QUESTION # 37
                                          Kenji Watanabe, a DevSecOps engineer at a Tokyo gaming studio, needs a testing tool that combines code instrumentation with live traffic analysis, so it can pinpoint the exact line of vulnerable code triggered when a QA tester clicks through the application during functional testing. Which approach should Kenji choose?

                                          Answer: B

                                          Explanation:
                                          IAST works by instrumenting the application with agents that monitor code execution from within while the application is exercised through normal functional or QA testing, allowing it to correlate detected vulnerabilities directly back to specific lines of source code in real time -- precisely what Kenji needs. Penetration testing is typically a manual or semi-manual black-box/gray-box assessment performed by security testers simulating real-world attacks, and does not inherently tie findings to exact source lines through instrumentation during routine QA clicks. Threat modeling is a design-time planning activity performed before code execution. Chaos engineering intentionally injects failures into production or production-like systems to test resilience, not to detect code-level vulnerabilities during functional testing. Because Kenji wants instrumented, line- level detection during live QA interaction, IAST is correct.


                                          NEW QUESTION # 38
                                          Rahul Mehta is working as a DevSecOps engineer in an IT company that develops cloud-native web applications. His organization follows a strict DevSecOps practice and wants to ensure that third-party open-source dependencies used in the application do not introduce known security vulnerabilities. Rahul decided to integrate a Software Composition Analysis (SCA) tool into the CI pipeline so that every build is automatically scanned. During one of the builds, the SCA tool detects a critical vulnerability in a transitive dependency. What should ideally happen in a mature DevSecOps pipeline when such a critical vulnerability is detected at build time?

                                          Answer: C

                                          Explanation:
                                          In a mature DevSecOps pipeline, security controls are enforced as gates, not merely as informational checks. When an SCA tool detects a critical vulnerability in a dependency--whether direct or transitive--the correct response at the Build and Test stage is to fail the build. This prevents vulnerable artifacts from moving forward into later stages such as deployment or production, where remediation would be more expensive and risky. Allowing the build to continue, even with notifications, contradicts the shift-left security principle. Ignoring transitive dependencies is also dangerous, as many real-world vulnerabilities originate from indirect libraries. Failing the build forces developers to remediate the issue immediately by upgrading, replacing, or mitigating the vulnerable dependency. This approach reduces attack surface, enforces accountability, and ensures that only secure artifacts are released. Therefore, stopping the pipeline upon detection of critical vulnerabilities reflects a strong DevSecOps maturity model and effective security governance.


                                          NEW QUESTION # 39
                                          ......

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