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ECCouncil 312-97 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q13-Q18):

NEW QUESTION # 13
Emily Carter, a DevSecOps Engineer at CloudSecure Solutions, is responsible for ensuring the security of open-source dependencies used in her company's cloud-based applications running on Google Cloud Platform (GCP). The organization follows CI/CD best practices, and Emily needs a tool that can automate security checks throughout the development lifecycle. She decides to integrate Snyk Open Source into the GCP CI/CD pipeline. Emily's team wants to ensure that potential vulnerabilities are identified before code is merged into the main branch. Which approach should Emily take to achieve this?

Answer: D

Explanation:
Configuring automated Snyk Open Source scans in the CI/CD pipeline to analyze dependencies in pull requests ensures vulnerabilities are identified before code is merged into the main branch, which is exactly Emily's goal. Alerts alone do not block merges, post-deployment audits are too late, and historical reports do not prevent new vulnerable dependencies from being introduced.


NEW QUESTION # 14
(Thomas Gibson has been working as a DevSecOps engineer in an IT company that develops software products and web applications related to law enforcement. To automatically execute a scan against the web apps, he would like to integrate InsightAppSec plugin with Jenkins. Therefore, Thomas generated a new API Key in the Insight platform. Now, he wants to install the plugin manually. How can Thomas install the InsightAppSec plugin manually in Jenkins?)

Answer: D

Explanation:
Jenkins plugins are distributed and installed as .hpi files. To manually install a plugin, administrators upload the .hpi file through the Jenkins Plugin Manager using the "Upload Plugin" option. This approach is commonly used in environments with restricted internet access or when custom plugin versions are required. .
war files are used for deploying the Jenkins application itself, not plugins, while .zip and .conf files are not recognized plugin formats. Installing the InsightAppSec plugin allows Jenkins pipelines to automatically trigger dynamic application security scans during the Build and Test stage. This integration ensures that web applications are continuously evaluated for vulnerabilities before deployment, supporting proactive security testing and risk reduction.
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NEW QUESTION # 15
Aiko Tanaka, a cloud security engineer at an Osaka retail company, is defining infrastructure using Terraform and wants to scan the Terraform configuration files for insecure settings - such as publicly exposed storage buckets or overly permissive security groups - before the infrastructure is ever provisioned. Which practice is Aiko implementing?

Answer: D

Explanation:
IaC security scanning tools (such as Checkov, tfsec, or Terrascan) statically analyze Infrastructure as Code definitions like Terraform, CloudFormation, or ARM templates to identify misconfigurations -- such as publicly accessible storage buckets or overly permissive security group rules -- before any actual cloud resources are provisioned, matching Aiko's exact goal of pre-provisioning detection. DAST tests running applications, not declarative infrastructure definitions, and requires a live target. Penetration testing of live cloud resources occurs after resources already exist and are deployed, which contradicts Aiko's "before provisioned" requirement. Log aggregation collects and centralizes log data from running systems for analysis, unrelated to pre-deployment configuration scanning. Since Aiko wants to catch misconfigurations in Terraform files prior to provisioning, IaC security scanning is correct.


NEW QUESTION # 16
During a recent sprint, your development team realized that security vulnerabilities were often detected too late in the deployment cycle, leading to delays and increased remediation costs. To address this issue, you integrated Snyk with Bitbucket to ensure early identification of security flaws in the codebase. Your goal is to make vulnerabilities immediately visible during the code review phase so that developers can address security concerns before merging code into the main branch. This will help enforce security best practices and prevent high-risk vulnerabilities from being introduced into production. Which configuration should you implement to achieve this?

Answer: B

Explanation:
Enabling Code Insights in Bitbucket surfaces Snyk's findings directly inside pull requests as annotations and reports, so reviewers see vulnerabilities during code review before merging-exactly the stated goal. Email alerts, commit alerts, or custom dashboards don't place findings inline in the PR review workflow.


NEW QUESTION # 17
A San Francisco tech company was attacked via an undetected SQL injection vulnerability in its web application. The attackers exploited this flaw to access sensitive customer data. The vulnerability evaded detection during previous code reviews. To prevent future attacks, the company integrated a security tool into their CI/CD pipeline for automated code analysis, identifying vulnerabilities like SQL injections early in development. This tool is integrated with their GitHub repository and AWS CodeCommit. Which tool did the company use to detect and fix this SQL injection vulnerability?

Answer: B

Explanation:
SonarQube provides automated static code analysis that detects vulnerabilities such as SQL injection, integrates with CI/CD pipelines, and connects to both GitHub and AWS CodeCommit-matching the company's setup. SonarLint is IDE-only, and Fortify (listed as 'Fortif') is not described here; the GitHub/CodeCommit pipeline integration described aligns with SonarQube.


NEW QUESTION # 18
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