ECCouncil 312-97 Valid Exam Pattern | Exam 312-97 Outline

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ECCouncil 312-97 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q81-Q86):

NEW QUESTION # 81
(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 # 82
(Patricia Cornwell has been working as a DevSecOps engineer in an IT company that provides custom software solutions. She would like to use GitMiner to mine the secret credentials such as usernames and passwords, API credentials, and other sensitive data from GitHub. Therefore, to start the scanning, she cloned the repo to the local machine by using the git clonehttp://github.com/UnkL4b/GitMinercommand; then, she moved to the current directory using $ cd GitMiner command. Which of the following commands should Patricia use to install the dependencies?)

Answer: C

Explanation:
GitMiner is a Python-based tool, and like most Python projects, it manages its dependencies through a requirements file named requirements.txt. The correct way to install all dependencies listed in this file is by using the pip3 install -r requirements.txt command. The -r flag instructs pip to read package names and versions from the specified file and install them accordingly. The other flags shown in the options do not correspond to dependency installation from a requirements file and would result in command errors or unexpected behavior. Installing dependencies correctly is a prerequisite for running GitMiner successfully.
During the Code stage, tools like GitMiner help identify hard-coded secrets and sensitive information early, reducing the risk of credential leakage and preventing security incidents later in the DevSecOps pipeline.


NEW QUESTION # 83
(Rachel Maddow has been working at RuizSoft Solution Pvt. Ltd. for the past 7 years as a senior DevSecOps engineer. To develop software products quickly and securely, her organization has been using AWS DevOps services. On January 1, 2022, the software development team of her organization developed a spring boot application with microservices and deployed it in AWS EC2 instance. Which of the following AWS services should Rachel use to scan the AWS workloads in EC2 instance for security issues and unintended network exposures?.)

Answer: A

Explanation:
AWS Inspector is a managed vulnerability assessment service designed specifically to scan workloads running on Amazon EC2 instances and container images for security vulnerabilities and unintended network exposures. It automatically evaluates instances against known vulnerabilities and security best practices, providing detailed findings and risk severity levels. AWS WAF protects web applications from common web exploits but does not perform host-based vulnerability scanning. AWS Config tracks configuration changes and compliance but does not actively scan workloads for vulnerabilities. Amazon CloudWatch focuses on monitoring logs, metrics, and alarms rather than security scanning. For a Spring Boot microservices application deployed on EC2, AWS Inspector is the correct choice to continuously assess security posture during the Build, Deploy, and Operate phases of the DevSecOps pipeline.
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NEW QUESTION # 84
Thomas McInerney has been working as a senior DevSecOps engineer in an IT company that develops software products and web applications related to the healthcare sector. His organization deployed various applications in Docker containers. Thomas' team leader would like to prevent a container from gaining new privileges. Therefore, he asked Thomas to set no_new_priv bit, which functions across clone, execve, and fork to prevent a container from gaining new privileges. Which of the following commands should Thomas use to list out security options for all the containers?

Answer: B

Explanation:
Docker allows inspection of container runtime configuration using the docker inspect command.
To list security-related options such as no_new_privileges for all containers, the correct approach is to first retrieve all container IDs using docker ps --quiet --all and then pass them to docker inspect with a formatted output. The command docker ps --quiet --all | xargs docker inspect -- format ': SecurityOpt=' correctly extracts the security options configured for each container.
Options that use incorrect flags such as -quiet instead of --quiet, omit required parameters, or misformat the output string are invalid. Inspecting security options during the Operate and Monitor stage helps ensure that privilege escalation protections are enforced consistently, supporting container hardening and compliance with security benchmarks.


NEW QUESTION # 85
(Christopher Brown has been working as a DevSecOps engineer in an IT company that develops software and web applications for an ecommerce company. To automatically detect common security issues and coding error in the C++ code, she performed code scanning using CodeQL in GitHub. Which of the following entries will Christopher find for CodeQL analysis of C++ code?)

Answer: C

Explanation:
When GitHub Code Scanning is enabled using CodeQL, each supported programming language is identified by a specific language key. For C++ code, CodeQL uses the identifiercpp, not "cp." CodeQL workflows are commonly configured to run during pull request events so that security issues and coding errors can be detected and reviewed before code is merged into the main branch. As a result, the CodeQL analysis entry displayed in GitHub Actions and the Security tab for C++ pull request analysis appears asCodeQL/Analyze (cpp) (pull-request). Options A and B are incorrect because "cp" is not a valid CodeQL language identifier.
Option C uses the correct language identifier but references an incorrect event format. Identifying the correct CodeQL analysis entry helps DevSecOps engineers confirm that scans are executing correctly for the intended language during the Code stage and that security feedback is available early in the development lifecycle.
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NEW QUESTION # 86
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