ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) 312-97 Exam Dumps: Updated Questions & Answers (January 2026)

The secure communication principle focuses on protecting data as it moves between systems, services, and users. This is achieved by establishing and maintainingsecure trust relationships, which include strong authentication mechanisms, encryption, certificate management, and trusted communication channels. Preventing breaches and reducing attack surface are broader security objectives, not specific to communication security. Balancing default configuration settings relates to secure defaults rather than communication. Secure trust relationships ensure that only authenticated and authorized entities can exchange data and that information remains confidential and tamper-proof during transmission. Embedding this principle into DevOps culture ensures that secure communication practices are consistently applied across all stages of the DevSecOps pipeline.

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In AWS-based DevSecOps pipelines, static analysis tools such as PHPStan commonly send their results to AWS services through event-driven processing. When PHPStan detects security issues, the results are typically parsed and processed by anAWS Lambda function, which can transform findings and forward them to AWS Security Hub. CloudFormation is used for infrastructure provisioning, AWS Config evaluates configuration compliance, and Elastic Beanstalk is an application deployment service—none of these are suited for parsing and relaying scan results. Lambda functions provide a scalable and serverless way to handle scan outputs automatically. This integration ensures that security findings are centralized, visible, and actionable, aligning with secure automation practices during the Code stage.

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GitGraber uses specific command-line flags to define how secret detection is performed. The -k flag is used to specify akeyword filethat contains search terms for identifying sensitive data in repositories. In this case, William wants to search for secrets using the keyword “yahoo,” which is passed using the -q flag. Options -w, -g, and -p are not valid flags for keyword-based scanning in GitGraber. By using -k, GitGraber scans repositories for matches against the defined keywords and reports potential secret exposures in real time. This capability is especially valuable during the Code stage, helping teams prevent credential leakage and maintain secure repositories.

Jira usesAtlassian Query Language, commonly referred to as JQL, to search, filter, and manage issues. This query language allows users to create advanced searches using fields such as project, status, assignee, priority, and custom attributes. Although often informally called Jira Query Language, the official name among the given options is Atlassian Query Language. SQL and Java query language are unrelated and not used for issue searching in Jira. Using JQL during the Code stage improves traceability between source code commits, builds, and tracked issues, enabling teams to monitor progress, validate deployment status, and maintain alignment between development and delivery activities.

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BeSECURE is a vulnerability management and assessment solution designed for continuous scanning of both network and application vulnerabilities. It emphasizes flexibility, accuracy, low maintenance overhead, and frequent updates to vulnerability detection mechanisms. These characteristics align directly with the scenario described, where the organization requires continuous scanning, daily updates, and specialized testing methodologies to detect a wide range of vulnerabilities. SonarQube focuses on static code quality and security analysis during development, Black Duck is primarily used for open-source software composition analysis, and Shadow Daemon is a web application firewall rather than a comprehensive vulnerability management solution. Using BeSECURE during the Operate and Monitor stage allows organizations to maintain ongoing visibility into their security posture, detect new vulnerabilities as they emerge, and reduce the likelihood of repeat attacks by addressing weaknesses proactively.

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The practices described—user identification and authorization, auditing, defense-in-depth, data protection, integrity enforcement, and input validation—are core elements that are planned and architected into the system from the beginning. These controls reflectSecure by Design, which focuses on embedding security principles at the design and architecture stage rather than adding them later. Secure by implementation emphasizes coding correctness, secure by default focuses on default configurations, and secure by communication focuses on trusted communication channels. DWART’s approach shows a holistic security mindset that anticipates attacker behavior and integrates layered defenses and controls into the system blueprint. This aligns directly with Secure by Design, which aims to reduce systemic risk by ensuring the application’s foundational structure enforces security consistently across all components and use cases.

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The Gradle wrapper script used to execute all features in the BDD Security framework on Unix-like systems is ./gradlew. The dot-slash prefix indicates execution from the current directory, which is required when running scripts locally. Options using /gardlew or /gardlev imply incorrect paths or misspelled wrapper names. Executing ./gradlew without additional parameters runs the default task, which includes all configured features such as OWASP ZAP, Nessus, SSLyze, and Selenium tests. Running all features during the Build and Test stage provides comprehensive external security testing coverage, helping identify vulnerabilities without needing access to source code.

The CentOS operating system uses theyumpackage manager to install software packages. Inside a CentOS-based Docker container, the correct way to install the Apache HTTP Server is by running yum install httpd. Containers typically run as the root user by default, making the use of sudo unnecessary. Commands such as install-httpd are invalid because yum requires the install keyword followed by the package name separated by a space. Installing required packages inside containers should be done carefully to avoid bloating images and increasing the attack surface. During the Operate and Monitor stage, DevSecOps teams must balance functionality with container hardening best practices by installing only necessary components.

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The Jscrambler configuration file .jscramblerrc is written inJSON format. JSON is widely used for configuration because it is lightweight, human-readable, and easily parsed by tools in CI/CD pipelines. Removing access and secret keys from this file is a recommended security practice to prevent credential leakage when the repository is shared or stored in version control. Instead, credentials are typically injected through environment variables or secure CI/CD secrets. XML, YAML, and HTML are not the formats used by Jscrambler for its primary configuration file. Using JSON-based configuration during the Code stage allows consistent integration with GitLab pipelines while maintaining secure handling of sensitive data.

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Runtime Application Self-Protection (RASP) operates from within the application runtime environment, monitoring incoming traffic, API calls, and execution behavior in real time. Because it has deep visibility into application logic and execution context, RASP can accurately detect attacks such as injection, tampering, and abnormal behavior while minimizing false positives. SAST analyzes source code statically, DAST tests running applications externally, and IAST combines some runtime insight with testing but does not actively block threats. RASP’s ability to detect and remediate attacks during runtime makes it ideal for protecting applications in production environments, aligning with the Operate and Monitor stage of the DevSecOps pipeline.