Pass the ECCouncil ECDE 312-97 Questions and answers with CertsForce

Azure Container Instances (ACI) exposes container logs via the Azure CLI using the az container logs command. To retrieve logs, you must provide the resource group and the container group name using the long-form parameters --resource-group and --name. Option A matches the correct CLI structure and parameter format: az container logs --resource-group ACI --name aci-test-closh. Options B and D incorrectly use single-dash forms (-resource-group and -name), which are not valid for these long option names. Options C and D incorrectly use azure instead of az; the Azure CLI command group is invoked with az, not azure. Getting logs after deployment review is a critical Operate and Monitor activity: it helps confirm the container started correctly, diagnose runtime errors, and validate that runtime protection (such as a RASP/micro-agent) is functioning. This visibility supports faster incident response and helps ensure the containerized workload remains secure and stable in its runtime environment.

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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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To complete Azure Key Vault integration with Jenkins, Kevin must createnew credentialsin Jenkins underGlobal Credentials (unrestricted). These credentials store the Azure client ID, client secret, tenant ID, and subscription details required by the Azure Key Vault plugin to authenticate securely. Modifying old credentials can lead to misconfiguration or credential reuse risks, while restricted credentials may prevent the plugin from accessing secrets across pipelines. Creating new unrestricted credentials ensures proper authentication and controlled access to secrets during the Code stage, supporting secure secret management across CI/CD workflows.

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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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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The practices described—access management, defense in depth, minimizing third-party dependencies, and securing weak links—are all architectural and design-level decisions. These controls are not merely coding techniques or configuration defaults but reflect security being embedded into the system’s blueprint from the earliest stages. This aligns directly with theSecure by Designprinciple, which emphasizes proactively designing systems to resist attacks rather than reacting to vulnerabilities later. Secure by implementation focuses on writing correct and safe code, secure by default focuses on initial configuration settings, and secure by communication addresses trust and confidentiality in communication channels. Orange International’s approach demonstrates a holistic security mindset that anticipates threats and integrates protective measures throughout the system architecture, making Secure by Design the correct choice.

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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 variableGIT_MULTIMAIL_CHECK_SETUPwith a non-empty value to ensure the tool is set up appropriately.

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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 aweb scannerto actively send requests to the application while also deploying anagent inside the application serverto observe runtime behavior and map vulnerabilities directly to source code locations. This combined approach is known assemi-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.

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Git post-commit hooks are executed automatically after a commit is successfully created. To trigger the Jenkins build job configured to respond to commits, Alex must create a valid Git commit using the correct Git command. The standard command to commit changes with a message is git commit -m "commit from terminal". Running this command records the changes in the repository and triggers the post-commit hook, which in turn initiates the Jenkins build. Commands using github commit are invalid because github is not a native Git command-line utility. The -b flag is also not used with git commit. Automating build triggers during the Code stage improves efficiency, reduces manual intervention, and ensures continuous integration is consistently enforced.

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w3af (Web Application Attack and Audit Framework) is aDynamic Application Security Testing (DAST)tool. It analyzes running web applications by sending crafted requests and observing responses to identify vulnerabilities such as SQL injection, cross-site scripting, and authentication flaws. Unlike SAST tools, w3af does not require access to source code and instead operates externally, simulating real-world attack behavior. SCA focuses on third-party dependencies, and IAST requires runtime instrumentation within the application. Since Debra detected vulnerabilities by actively interacting with the application, w3af clearly represents DAST. DAST tools are especially valuable during the Build and Test stage, as they validate application behavior from an attacker’s perspective before deployment.

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