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ECCouncil 312-97 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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.

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q143-Q148):

NEW QUESTION # 143
Daniel Foster, a DevSecOps Engineer at CloudShield Solutions, is responsible for improving the security posture of the company's software development lifecycle. His team follows an iterative approach to threat modeling, ensuring that security risks are identified and mitigated at every stage of development. Daniel is currently working on a new project that requires him to perform a structured threat modeling process. He starts by gathering business requirements, security objectives, and compliance needs. His next step involves analyzing key components, interactions, and dependencies within the system to better understand potential vulnerabilities. Which step should Daniel perform next in the threat modeling process?

Answer: C

Explanation:
The threat modeling sequence is: define/gather requirements, decompose the application (analyze components, interactions, dependencies), then identify and categorize threats (e.g., with STRIDE), and finally develop and validate mitigations. Daniel has gathered requirements and is decomposing the system, so the next step is to identify and categorize potential threats.


NEW QUESTION # 144
Camila Duarte, a DevSecOps engineer at a Sao Paulo media company, is setting up her Jenkins pipeline to store database credentials, API keys, and TLS certificates outside of source code and configuration files, with automatic rotation and fine-grained access policies. Which type of tool should she integrate?

Answer: D

Explanation:
Secrets management tools such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault are purpose-built to securely store, dynamically generate, rotate, and control access to sensitive credentials like API keys, database passwords, and certificates, removing the need to hardcode them into source code or pipeline configuration files. This directly matches Camila's requirement for automatic rotation and fine-grained access policies. A static code analyzer scans source code for vulnerabilities but does not manage or store secrets. A container registry stores and distributes container images, unrelated to credential management. A load balancer distributes network traffic across servers and has no role in secrets handling. Since Camila needs centralized, rotatable, access-controlled secret storage, a secrets management tool is correct.


NEW QUESTION # 145
(Dustin Hoffman has been working as a DevSecOps engineer in an IT company located in San Diego, California. For detecting new security vulnerabilities at the beginning of the source code development, he would like to integrate Checkmarx SCA tool with GitLab. The Checkmarx template has all the jobs defined for pipeline. Where should Dustin incorporate the Checkmarx template file 'https://raw.githubusercontent.com
/checkmarx-ltd/cx-flow/develop/templates/gitlab/v3/Checkmarx.gitlab-ci.yml'?)

Answer: D

Explanation:
GitLab CI/CD pipelines are defined using a configuration file namedgitlab-ci.yml, which must be placed in the root directory of the repository. This file controls pipeline stages, jobs, and template inclusions. To integrate Checkmarx SCA using a predefined template, the template reference must be included in the root- level gitlab-ci.yml file so GitLab can load and execute the defined jobs automatically. The other filenames listed in the options are not recognized by GitLab as valid pipeline configuration files. Integrating SCA at the Code stage allows early detection of vulnerable open-source dependencies, reducing remediation cost and preventing insecure components from progressing further in the DevSecOps pipeline.


NEW QUESTION # 146
William Scott, after completing his graduation in computer science, joined an IT company as a DevSecOps engineer. His team leader has asked him to use GitHub Code Scanning for evaluating the source code in his organization's GitHub repository to detect security issues and coding errors. How can William set up coding scanning in GitHub repository?

Answer: D

Explanation:
GitHub Code Scanning is a built-in security capability designed to automatically analyze source code for security vulnerabilities and coding errors. The primary and officially supported engine for GitHub Code Scanning is CodeQL. CodeQL works by converting source code into a database and running security queries to detect issues such as injection flaws, insecure coding patterns, and logic errors. William can enable CodeQL by configuring GitHub Actions with either the default or advanced CodeQL workflow. Once enabled, CodeQL scans are triggered on events such as code pushes and pull requests, and the results appear as code scanning alerts in the repository's Security tab. Gauntlt is a security testing harness used mainly for infrastructure and application testing, GitMiner is used to discover sensitive data like secrets in repositories, and OWASP ZAP is a dynamic application security testing tool used against running applications. None of these tools configure GitHub's native Code Scanning feature. Therefore, CodeQL is the correct tool to set up GitHub Code Scanning in the Code stage of a DevSecOps pipeline.


NEW QUESTION # 147
Isabela Marques, a DevSecOps engineer at a Porto software consultancy, wants developers to receive immediate feedback about newly introduced vulnerabilities directly within their pull request, before a reviewer even looks at the code, rather than waiting for a separate nightly scan report. What practice best achieves this?

Answer: D

Explanation:
Integrating SAST and SCA tools directly into the pull request CI workflow allows automated scans to run as soon as a PR is opened or updated, posting results and annotations inline before a human reviewer even examines the code, which provides the fast, "shift-left" feedback loop Isabela wants. Scheduling a weekly manual penetration test provides feedback far too infrequently and too late relative to individual pull requests. Waiting for production incident reports is entirely reactive and represents the latest, most costly point at which to discover a vulnerability.
Running scans only after each quarterly release delays feedback by months, defeating the purpose of continuous, rapid developer feedback. Since Isabela wants immediate, PR-level automated vulnerability feedback, integrating SAST/SCA into the PR CI workflow is correct.


NEW QUESTION # 148
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