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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
  • 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 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.

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q108-Q113):

NEW QUESTION # 108
Attackers exploited a vulnerability in a healthcare organization's application, injected malicious commands into user input fields, gained unauthorized access to the underlying server, exfiltrated patient records, and tampered with critical files. In this case, which of the following tools can assist the DevSecOps engineer of the organization in flagging the injection vulnerability in the codebase and provide actionable recommendations to fix the issue in their Azure DevOps pipeline?

Answer: C

Explanation:
CodeQL is GitHub's semantic code analysis engine (available in Azure DevOps pipelines) that queries code as data to flag injection vulnerabilities-such as command injection-in the codebase and provides actionable remediation guidance. Azure Defender for Cloud protects cloud workloads, and Packer and Gradle are build/image tools, not code security analyzers.


NEW QUESTION # 109
(Debra Aniston is a DevSecOps engineer in an IT company that develops software products and web applications. Her team has found various coding issues in the application code. Debra would like to fix coding issues before they exist. She recommended a DevSecOps tool to the software developer team that highlights bugs and security vulnerabilities with clear remediation guidance, which helps in fixing security issues before the code is committed. Based on the information given, which of the following tools has Debra recommended to the software development team?)

Answer: C

Explanation:
SonarLint is a static code analysis tool designed specifically to be used inside developers' IDEs, where it provides immediate feedback while code is being written. It highlights bugs, security vulnerabilities, and code smells and, importantly, providesclear remediation guidancethat explains why an issue exists and how it can be fixed. This aligns directly with Debra's requirement to fix issues "before they exist," meaning before code is committed to the repository. Arachni and OWASP ZAP are dynamic application security testing tools that require a running application and are typically used later in the pipeline. Tenable.io is a vulnerability management platform focused on infrastructure and application scanning rather than real-time developer feedback. By using SonarLint, developers receive continuous guidance during coding, supporting the shift-left security approach in DevSecOps and reducing the cost and effort of fixing vulnerabilities later in the lifecycle.
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NEW QUESTION # 110
Sandra Oliver joined SinClare Soft Pvt. Ltd. as a DevSecOps engineer in January of 2010. Her organization develops software and web applications related to the healthcare industry. Using IAST runtime security testing technology, she is detecting and diagnosing security issues in applications and APIs. The IAST solution used by Sandra encompasses a web scanner with an agent that works inside the server that hosts the application to provide additional analysis details such as the location of the vulnerability in the application code. Based on the given information, which of the following IAST solutions is Sandra using?

Answer: C

Explanation:
Interactive Application Security Testing (IAST) solutions are classified based on how they interact with the application and runtime environment. In this scenario, the solution uses a web scanner to actively send requests to the application while also deploying an agent inside the application server to observe runtime behavior and map vulnerabilities directly to source code locations. This combined approach is known as semi-active IAST. It is considered "semi-active" because it actively drives traffic through the application using a scanner, while the agent passively observes execution paths, data flows, and method calls. Passive IAST solutions rely only on observing existing traffic and do not use scanners, while active IAST solutions do not typically rely on deep runtime agents in the same manner. Semi-active IAST significantly reduces false positives and provides precise remediation details, making it highly effective during the Build and Test stage, where applications are actively exercised and security issues can be identified and fixed before release.


NEW QUESTION # 111
Alex Hales recently joined TAVR Software Solution Pvt. Ltd. As a DevSecOps engineer. To automatically detect security loopholes in the web applications while building and testing them, he integrated OWASP ZAP DAST Plugin with Jenkins. How can Alex uniquely identify every build in the project?

Answer: A

Explanation:
Jenkins automatically assigns a unique identifier to each build using the environment variable BUILD_ID. When integrating OWASP ZAP with Jenkins, appending ${BUILD_ID} to output filenames or reports ensures that every scan result corresponds to a specific build execution. This avoids overwriting previous reports and allows traceability between build artifacts and security findings. Variables such as ${ZAPROXY_HOME} refer to installation paths, not build uniqueness, while ${Profile_ID} and ${zap_scan} are not standard Jenkins variables for uniquely identifying builds. Using ${BUILD_ID} supports better auditing, historical analysis, and correlation between detected vulnerabilities and the exact build in which they were found, which is critical during the Build and Test stage of a DevSecOps pipeline.


NEW QUESTION # 112
Amara Nwosu, a security operations engineer at a Lagos telecom, wants to aggregate logs from applications, containers, and cloud infrastructure into a centralized platform where she can correlate events and detect anomalous patterns indicating a potential breach. Which category of tool should Amara deploy?

Answer: A

Explanation:
A SIEM platform (such as Splunk, IBM QRadar, or Microsoft Sentinel) centralizes log and event data from diverse sources -- applications, containers, network devices, and cloud infrastructure -- and applies correlation rules, analytics, and often machine learning to detect anomalous patterns that may indicate a security incident, matching exactly what Amara needs for the Monitor stage. A SAST scanner analyzes static source code for vulnerabilities and has no log correlation or anomaly detection capability. A secrets vault securely stores and manages credentials, unrelated to log aggregation or event correlation. A load testing tool measures application performance under simulated user load and does not perform security event correlation. Since Amara needs centralized log correlation and anomaly detection across multiple sources, a SIEM is correct.


NEW QUESTION # 113
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