312-97 ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Free Practice Exam Questions (2026 Updated)

In Go-based tool installation, the standard method to download, compile, and install a Go package is using the go get command followed by the repository import path. Since Matt has already ensured that Go version 1.8 or later is installed and that $GOPATH/bin is included in the system PATH, running go get github.com/michenriksen/gitrob will fetch the GitRob source code, build the binary, and place it in the appropriate bin directory. Options B, C, and D are invalid because go get does not accept multiple positional arguments in that manner, and go git is not a valid Go command. Installing GitRob during the Code stage enables DevSecOps teams to scan repositories for accidentally committed credentials, API keys, and other sensitive information, helping prevent data leakage from public repositories.

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Chef InSpec provides a command-line interface for creating and executing compliance profiles. To initialize a new profile with the required directory structure, metadata file, and example controls, the correct command is inspec init profile . In Jeremy’s case, running inspec init profile jyren-azureTests creates a new folder with all required artifacts needed to write and run Azure compliance tests. Options using prof are invalid abbreviations, and prefixing the command with chef is incorrect when using the InSpec CLI directly. Creating a structured InSpec profile during the Build and Test stage enables automated validation of infrastructure against architectural standards and security policies, supporting Infrastructure as Code security and continuous compliance practices.

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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.

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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When configuring Burp Suite scans in Jenkins using an Execute shell build step, environment variables are often set or echoed so that subsequent scan steps can consume them. The echo command is used to output or define values in the shell context. In this case, echo BURP_SCAN_URL = http://target-website.com correctly defines the target URL for Burp Suite scanning. Commands like grep and cat are used for searching or displaying file contents and are not appropriate for setting scan parameters. The sudo command is unnecessary and incorrect in this context. Using the correct shell command ensures that Burp Suite receives the proper target information during the Build and Test stage, enabling accurate dynamic application security testing.

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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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Dynamic Application Security Testing (DAST) and fuzz testing require a running application in order to actively probe for vulnerabilities such as injection flaws, authentication bypasses, and improper input handling. These techniques are therefore performed after the application has been built and deployed to a testing environment, categorizing them astest-time checks. Commit-time and build-time checks rely primarily on static analysis and dependency scanning and do not exercise application behavior at runtime. Deploy-time checks focus on configuration validation rather than aggressive attack simulation. Test-time checks are specifically designed to uncover critical and high-severity vulnerabilities by mimicking real-world attack scenarios. Performing DAST and fuzz testing during this stage allows teams to detect exploitable flaws before production release, significantly strengthening application security.

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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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When changes are committed to a repository connected to an AWS Pipeline, the pipeline execution is triggered and monitored usingAmazon CloudWatch events. CloudWatch captures pipeline state changes, execution status, and approval notifications, enabling real-time monitoring and alerting. AWS Config tracks resource configuration changes, BinSkim is a binary analysis tool, and Security Hub aggregates security findings but does not directly track pipeline execution events. Integrating SonarQube into AWS Pipeline ensures static code analysis runs automatically upon commits, while CloudWatch provides visibility into pipeline activity. This setup strengthens security automation during the Code stage by ensuring every commit is analyzed and monitored.

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