ECCouncil 312-97 - EC-Council Certified DevSecOps Engineer (ECDE)

The description matches AWSBugBust, which AWS positions as a gamified, team-based bug fixing challenge rather than a classic external “bug bounty” for finding vulnerabilities in AWS itself. The key hints are “fun-based solution for bashing bugs,” “encouraging team building,” and “friendly competition,” along with scoring points and awarding prizes. BugBust focuses on improving code quality by motivating developers to find and fix issues (often via static analysis findings) in languages like Java and Python. Participants earn points for remediations and compete on leaderboards, which aligns directly with Sarah “scored the highest points” and received a cash reward. The other names (BugFixer, BugFinder, BugHunt) are plausible-sounding but do not match the commonly referenced AWS gamified program described. In a DevSecOps context, this type of program supports culture by incentivizing secure coding habits, encouraging shared ownership of quality, and making remediation visible and rewarding across the engineering team.

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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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Jenkins automatically assigns a unique identifier to each build using the environment variableBUILD_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.

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CloudMapper requires read-only access to AWS resources in order to collect metadata, visualize architectures, and perform security analysis without modifying infrastructure. The AWS-managed policySecurityAuditprovides permissions to view security-related configuration across services, whileViewOnlyAccessallows read-only access to AWS resources more broadly. Together, these policies enable CloudMapper to gather comprehensive information about the AWS environment without granting write privileges. The other options either reference invalid policy names, incorrect formatting, or excessive permissions such as AWSLambdaFullAccess, which are unnecessary and violate least-privilege principles. Granting SecurityAudit and ViewOnlyAccess aligns with secure auditing practices during the Operate and Monitor stage.

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Git hooks determine success or failure based on the exit code of the executed script. An exit code of0indicates successful execution, while any non-zero value signals failure and causes Git to abort the commit. In Jordon’s setup, a Bash shell calls a PowerShell script to perform pre-commit checks. If the PowerShell script exits with code 0, Git interprets this as a successful hook execution and allows the commit to proceed. Exit codes such as 1, 2, or 3 indicate errors or policy violations and will block the commit. This mechanism ensures that security or quality checks enforced by the pre-commit hook must pass before code is committed. Using exit codes in this way is a standard and reliable approach in cross-platform DevSecOps automation during the Code stage.

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In an AWS CI/CD architecture, AWS CodePipeline acts as an orchestration service that coordinates different stages but does not execute build or scan commands itself. AWS CodeBuild is the service responsible for running commands such as compiling code, executing tests, and running third-party security tools like the Snyk CLI. In Terry’s workflow, CodeCommit stores the source code, EventBridge triggers the pipeline, and CodePipeline passes the source to CodeBuild. CodeBuild then executes the Snyk CLI, performs vulnerability scanning, and sends the scan results to the Snyk UI using the configured authentication token. AWS CodeDeploy is focused on application deployment and does not interact with Snyk CLI. Therefore, AWS CodeBuild is the component that interacts with Snyk CLI and communicates results back to the Snyk platform. This integration ensures that dependency vulnerabilities are detected early in the Build and Test stage.

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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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Grype is a vulnerability scanning tool used to analyze container images and file systems for known vulnerabilities across operating system and application dependencies. The most effective way to perform a comprehensive scan is by running the grype --scope all-layers command. This ensures that vulnerabilities are detected acrossall layersof the container image, not just the final runtime layer. Containers often inherit vulnerabilities from base images or intermediate layers, making full-layer scanning essential. The packages subcommand is used for listing detected packages rather than performing vulnerability analysis. Running Grype during the Build and Test stage allows DevSecOps teams to identify vulnerable base images and dependencies early, reducing the risk of deploying insecure containers into production and supporting secure container lifecycle management.

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Sqreen provides runtime application self-protection (RASP) capabilities that allow teams to detect and respond to security threats in real time. Sqreen uses a structured automation mechanism called aplaybookto define how security events are handled. A playbook consists of three key components: atriggerthat detects suspicious or malicious behavior, asecurity responsethat defines what action Sqreen should take (such as blocking a request or flagging an attack), and anotificationthat sends alerts to external systems like Slack. The term “cookbook” is not used in Sqreen’s alerting and response model, making options A and B incorrect. Option C incorrectly uses the phrase “Alert a response” instead of “security response,” which does not accurately describe Sqreen’s configuration model. By using playbooks, Sqreen enables automated detection, response, and team notification during the Operate and Monitor stage, ensuring rapid awareness and collaboration when security incidents occur.

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If a pre-commit hook script does not explicitly detect sensitive information or return a non-zero exit code, Git will treat the hook execution as successful. In this scenario, although the hook was made executable, Beth still managed to commit sensitive information. This implies that the hook either did not contain logic to detect such data or did not fail the commit upon detection. As a result, the script exited with0, allowing the commit to proceed. Exit code 0 always signals success to Git, while non-zero exit codes block commits. This highlights the importance of properly implementing security checks within hooks, not just enabling them. Making a hook executable is necessary, but it must also include correct validation logic to enforce security policies during the Code stage.

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