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ECCouncil 312-97 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Introduction to DevSecOps: This module covers foundational DevSecOps concepts, focusing on integrating security into the DevOps lifecycle through automated, collaborative approaches. It introduces key components, tools, and practices while discussing adoption benefits, implementation challenges, and strategies for establishing a security-first culture.
Topic 2
  • DevSecOps Pipeline - Code Stage: This module discusses secure coding practices and security integration within the development process and IDE. Developers learn to write secure code using static code analysis tools and industry-standard secure coding guidelines.
Topic 3
  • DevSecOps Pipeline - Plan Stage: This module covers the planning phase, emphasizing security requirement identification and threat modeling. It highlights cross-functional collaboration between development, security, and operations teams to ensure alignment with security goals.
Topic 4
  • Understanding DevOps Culture: This module introduces DevOps principles, covering cultural and technical foundations that emphasize collaboration between development and operations teams. It addresses automation, CI
  • CD practices, continuous improvement, and the essential communication patterns needed for faster, reliable software delivery.
Topic 5
  • DevSecOps Pipeline - Build and Test Stage: This module explores integrating automated security testing into build and testing processes through CI pipelines. It covers SAST and DAST approaches to identify and address vulnerabilities early in development.

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q75-Q80):

NEW QUESTION # 75
A DevSecOps team is working on an Azure DevOps project and wants to enhance security by configuring GitHub Advanced Security (GHAS). One of their primary concerns is the accidental exposure of sensitive information-such as API keys, credentials, and other confidential data-when developers push code to the repository. To mitigate this risk, the team is looking for a solution that can automatically detect and block sensitive information before it gets committed, ensuring that such data never reaches the repository. Which GHAS feature should the team enable to achieve this level of protection?

Answer: D

Explanation:
Secret Scanning Push Protection in GitHub Advanced Security scans pushes for secrets (API keys, credentials) and blocks the push before sensitive data ever reaches the repository-precisely the preventive control the team wants. Code scanning and dependency scanning analyze code and dependencies after push, and repository onboarding is a setup process, not a protection feature.


NEW QUESTION # 76
A technology firm specializing in financial services has integrated Fortify Static Code Analyzer (SCA) with Jenkins to enforce secure coding practices within its CI/CD pipeline. The objective is to identify and remediate vulnerabilities early in the development lifecycle. After a recent build, the security team noticed that critical vulnerabilities were not flagged, despite Fortify SCA being executed within the pipeline. Jenkins logs confirmed that the scan completed successfully without any errors. However, when the security team manually executed Fortify SCA on the same codebase outside of Jenkins, multiple vulnerabilities were detected. Which of the following is the reason for the discrepancy in vulnerability detection?

Answer: B

Explanation:
Since Fortify SCA completed 'successfully' in Jenkins and manual scans found the vulnerabilities, the discrepancy lies in how Jenkins handled the results: the post-build actions were misconfigured, so scan results were not properly retrieved, parsed, or published-meaning critical findings never surfaced in the pipeline. An updated rulepack would affect manual runs equally, and network/plugin incompatibility would cause scan errors, which were absent.


NEW QUESTION # 77
(SinCaire is a software development company that develops web applications for various clients. To measure the successful implementation of DevSecOps, the organization enforced U.S. General Service Administrator (GSA) high-value DevSecOps metrics. Which of the following metrics implemented by SinCaire can measure the time between the code commit and production, and tracks the bug fix and new features throughout the development, testing, and production phases?)

Answer: A

Explanation:
Change lead time measures the duration between a code commit and its successful deployment into production. This metric tracks how efficiently new features, bug fixes, and changes move through development, testing, and release stages. It is a key DevSecOps performance indicator used to assess pipeline efficiency and the effectiveness of automation and security integration. Mean time to recovery focuses on restoring service after incidents, change volume measures the number of changes rather than delivery speed, and time to value is a broader business metric. Change lead time directly reflects how well DevSecOps practices enable rapid yet secure delivery, making it the correct metric for measuring commit-to-production flow across all phases.
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NEW QUESTION # 78
(Dave Allen is working as a DevSecOps engineer in an IT company located in Baltimore, Maryland. His team is working on the development of Ruby on Rails application. He integrated Brakeman with Jenkins to detect security vulnerabilities as soon as they are introduced; he then installed and configured Warnings Next Generation Plugin in Jenkins. What will be the use of Warnings Next Generation Plugin to Dave?.)

Answer: B

Explanation:
The Warnings Next Generation Plugin in Jenkins is designed tocollect, aggregate, visualize, and manage static analysis resultsproduced by various tools, including Brakeman. In this scenario, Dave uses Brakeman to scan Ruby on Rails applications for security vulnerabilities. Brakeman generates output files containing findings, and the Warnings Next Generation Plugin parses these results and presents them in a standardized, user-friendly format within Jenkins. This allows teams to track trends, enforce quality gates, and fail builds based on severity thresholds. The plugin does not inspect TypeScript code, validate compiler settings, or control Brakeman's execution logic. Its role is purely to manage and display analysis results. Using this plugin during the Code stage improves visibility into security issues, supports decision-making, and helps enforce security standards across the development lifecycle.
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NEW QUESTION # 79
Mark Reynolds, a DevSecOps Engineer at CloudGuard Solutions, is responsible for securing sensitive data in a multi-cloud application. His team follows security best practices to prevent hardcoding API keys, database credentials, and encryption certificates in their application code or CI/CD pipelines. To achieve this, Mark needs a centralized, secure, and scalable way to store and manage secrets, ensuring only authorized services and users can access them while maintaining strict audit logging for compliance. Which Google Cloud service should Mark use to securely store and manage these sensitive credentials?

Answer: C

Explanation:
Google Cloud Secret Manager is the centralized, secure service for storing and managing secrets such as API keys, credentials, and certificates, with fine-grained IAM access control, versioning, and audit logging-exactly Mark's requirements. Key Vault is Azure's service, and 'Secret Repository'/'Encrypted Storage' are not GCP services.


NEW QUESTION # 80
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