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| Certification Vendor: | EC-Council |
|---|---|
| Exam Name: | EC-Council Certified DevSecOps Engineer (ECDE) Exam |
| Exam Number: | 312-97 |
| Available Languages: | English |
| Exam Duration: | 240 minutes |
| Passing Score: | 70% (may vary 60–85% depending on exam version) |
| Related Certifications: | EC-Council DevSecOps Essentials (DSE) |
| Exam Format: | Multiple-choice questions (MCQ) |
| Real Exam Qty: | 100 |
| Recommended Training: | EC-Council DevSecOps Essentials (DSE) EC-Council DevSecOps Engineer Training (E|CDE) |
| Exam Registration: | Pearson VUE EC-Council Exams EC-Council ECDE Official Page |
| Sample Questions: | ECCouncil 312-97 Sample Questions |
| Exam Way: | Online proctored exam via EC-Council Exam Portal / Pearson VUE |
| Pre Condition: | Basic understanding of application security concepts; enrollment in EC-Council DevSecOps training recommended |
| Official Syllabus URL: | https://www.eccouncil.org/train-certify/certified-devsecops-engineer-ecde/ |
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NEW QUESTION # 65
(Charles Rettig has been working as a DevSecOps engineer in an IT company that develops software and web applications for IoT devices. He integrated Burp Suite with Jenkins to detect vulnerabilities and evaluate attack vectors compromising web applications. Which of the following features offered by Burp Suite minimizes false positives and helps detect invisible vulnerabilities?)
Answer: C
Explanation:
Burp Suite'sOut-of-band Application Security Testing (OAST)feature is designed to detect vulnerabilities that do not produce immediate or visible responses during standard scanning. OAST works by triggering interactions such as DNS or HTTP callbacks, which occur outside the normal request-response cycle. This capability enables detection of blind vulnerabilities like blind SQL injection and server-side request forgery.
Because findings are based on confirmed external interactions, OAST significantly reduces false positives.
The other options listed are not valid Burp Suite features. Integrating OAST during the Build and Test stage improves the accuracy of dynamic security testing and ensures deeper coverage of complex and hard-to-detect vulnerability classes before applications are released.
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NEW QUESTION # 66
Jordon Garrett has recently joined a startup IT company located in Chicago, Illinois, as a DevSecOps engineer. His team leader asked him to find a SAST tool that can secure the organization Azure environment. Which of the following is a SAST tool that Jordon can select to secure his organization's Azure environment?
Answer: D
Explanation:
Coverity is a well-known Static Application Security Testing (SAST) tool used to analyze source code for security vulnerabilities, coding errors, and quality issues. It integrates with CI/CD pipelines and supports enterprise-scale environments, including cloud-based development on platforms such as Azure. Accurics focuses on Infrastructure as Code security, Tenable.io is a vulnerability management platform for infrastructure and assets, and DevSkim is a lightweight code scanning extension rather than a full SAST platform. Selecting Coverity enables deep static analysis of application code during the Code stage, helping teams detect vulnerabilities early and reduce remediation costs.
NEW QUESTION # 67
William Edwards is working as a DevSecOps engineer at SVR Software Solution Pvt. Ltd. His organization develops software products and applications related to digital marketing. William integrated Prisma Cloud with Jenkins to detect threat-intelligence based threat detection. This integration will allow him to scan container images and serverless functions for security issues in the CI/CD pipeline. Which of the following is employed by Prisma Cloud to understand the normal network behavior of each customer's cloud environment to detect network anomalies and zero- day attacks effectively with minimal false positives?
Answer: D
Explanation:
Prisma Cloud leverages advanced unsupervised machine learning to establish baselines of normal behavior within a customer's cloud environment. By analyzing patterns in network traffic, resource interactions, and workload behavior without relying on labeled training data, it can detect anomalies and potential zero-day attacks with minimal false positives. Supervised approaches require predefined labels and known attack patterns, which limits effectiveness against new or unknown threats. Unsupervised data mining alone lacks the adaptive intelligence provided by machine learning models. Using unsupervised machine learning during the Build and Test stage enables continuous, intelligent security analysis across dynamic cloud-native workloads, supporting proactive threat detection in DevSecOps pipelines.
NEW QUESTION # 68
(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: C
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 isCodeQL. 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.
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NEW QUESTION # 69
(Brett Ryan has been working as a senior DevSecOps engineer in an IT company in Charleston, South Carolina. He is using git-mutimail tool to send email notification for every push to git repository. By default, the tool will send one output email providing details about the reference change and one output email for every new commit due to a reference change. How can Brett ensure that git-multimail is set up appropriately?)
Answer: A
Explanation:
The git-multimail tool provides a mechanism to verify whether it has been installed and configured correctly before being relied upon for production notifications. This verification is done using an environment variable namedGIT_MULTIMAIL_CHECK_SETUP. When this variable is set to anon-empty string, git-multimail performs a setup validation and outputs diagnostic information toconfirm that configuration values, hooks, and parameters are correctly defined. This helps prevent silent failures where commits occur but email notifications are not sent. Options that referenceGITHUB_MULTIMAIL_CHECK_SETUPare incorrect because git-multimail is not limited to GitHub and does not use that variable name. Additionally, setting the variable to an empty string does not trigger the setup check. Ensuring proper configuration during the Code stage is important because it supports auditability, traceability, and timely communication among development and security teams. Therefore, Brett must run the environment variable GIT_MULTIMAIL_CHECK_SETUPwith a non-empty value to ensure the tool is set up appropriately.
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NEW QUESTION # 70
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