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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
  • 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 4
  • DevSecOps Pipeline - Release and Deploy Stage: This module explains maintaining security during release and deployment through secure techniques and infrastructure as code security. It covers container security tools, release management, and secure configuration practices for production transitions.
Topic 5
  • DevSecOps Pipeline - Operate and Monitor Stage: This module focuses on securing operational environments and implementing continuous monitoring for security incidents. It covers logging, monitoring, incident response, and SIEM tools for maintaining security visibility and threat identification.
Topic 6
  • 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.

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q43-Q48):

NEW QUESTION # 43
(Nicholas Cascone has recently been recruited by an IT company from his college as a DevSecOps engineer.
His team leader asked him to integrate GitHub Webhooks with Jenkins. To integrate GitHub Webhooks with Jenkins, Nicholas logged in to GitHub account; he then selected Settings > Webhooks > Add Webhook. In the Payload URL field, he is supposed to add Jenkins URL. Which of the following is the final Jenkins URL format that Nicholas should add in Payload URL field of GitHub to configure GitHub Webhooks with Jenkins?.)

Answer: C

Explanation:
Jenkins exposes a predefined endpoint for receiving GitHub webhook events. This endpoint is /github- webhook/ and must be appended to the Jenkins base URL in the GitHub webhook configuration. Option C correctly matches the required endpoint format. The other options use incorrect casing, separators, or naming conventions that Jenkins does not recognize. Correct webhook configuration ensures that Jenkins jobs are automatically triggered when code changes occur in GitHub repositories. This integration supports continuous integration and immediate feedback during the Code stage of the DevSecOps pipeline.
========


NEW QUESTION # 44
Fatima Zahra Bennani, a DevSecOps engineer at a Casablanca telecom, needs to verify that a specific compliance control - encryption at rest for all cloud storage buckets - is continuously enforced across the entire AWS environment, not just checked once during initial setup. Which type of tool should Fatima adopt?

Answer: D

Explanation:
CSPM tools (such as AWS Security Hub, Prisma Cloud, or Wiz) continuously monitor cloud environments against defined compliance benchmarks and security policies, automatically detecting configuration drift -- such as a storage bucket losing encryption-at-rest settings -- and alerting or remediating in near real time, which directly satisfies Fatima's need for ongoing, continuous enforcement rather than a point-in-time check. A one-time manual audit spreadsheet only captures a snapshot in time and cannot detect drift that occurs afterward. A static code analyzer for application source examines code for vulnerabilities and has no visibility into live cloud resource configuration. A Git commit hook operates on source code repository events and has no relationship to ongoing cloud infrastructure compliance monitoring. Since Fatima needs continuous, automated verification of a cloud compliance control, a CSPM tool is correct.


NEW QUESTION # 45
Aditi Sharma, a DevSecOps engineer at a Pune SaaS company, wants to define security policies as code - such as "no container may run with privileged: true" - that are automatically enforced by the Kubernetes API server before any non-compliant resource is admitted to the cluster. Which technology should Aditi use?

Answer: C

Explanation:
Open Policy Agent, typically deployed as Gatekeeper in Kubernetes, allows security and platform teams to define declarative "policy as code" rules -- such as disallowing privileged containers -- that are enforced by a validating admission webhook, automatically rejecting any resource creation request that violates policy before it is ever admitted to the cluster, exactly matching Aditi's requirement. Prometheus alerting rules generate notifications based on collected metrics crossing defined thresholds but do not proactively block non-compliant resources from being created. Grafana dashboards visualize metrics data for human review and have no enforcement capability whatsoever. A Jenkins build agent executes CI/CD pipeline jobs and is unrelated to Kubernetes admission-time policy enforcement. Since Aditi needs automated, pre-admission policy enforcement in Kubernetes, OPA/Gatekeeper is correct.


NEW QUESTION # 46
A DevSecOps team is evaluating AI-powered solutions to enhance task management, incident response, and security automation within their CI/CD pipeline. They need an intelligent assistant that can automate vulnerability management and security reporting, streamline communication and repetitive security tasks, and seamlessly integrate with their existing Atlassian Jira environment. After assessing multiple options, the team identifies one AI-driven tool that stands out due to its deep integration with Jira and advanced security automation features.Which AI-driven tool is best suited to meet the team's requirements?

Answer: B

Explanation:
Atlassian Intelligence is the AI built natively into Atlassian products, including Jira: it automates task management, summarizes and drafts content, streamlines repetitive work, and supports incident/security workflows with deep Jira integration-matching the team's requirements. Trello AI is limited to Trello, and ServiceNow/Splunk assistants don't integrate natively with Jira.


NEW QUESTION # 47
(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: C

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 # 48
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