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>> Original 312-97 Questions <<
2Pass4sure real ECCouncil 312-97 Exam Dumps are ideal for applicants who are busy in their routines and want to do quick preparation for the ECCouncil 312-97 certification test. We guarantee that our actual EC-Council Certified DevSecOps Engineer (ECDE) (312-97) questions will be enough for you to prepare successfully for the EC-Council Certified DevSecOps Engineer (ECDE) (312-97) examination.
NEW QUESTION # 78
(Christopher Brown has been working as a DevSecOps engineer in an IT company that develops software and web applications for an ecommerce company. To automatically detect common security issues and coding error in the C++ code, she performed code scanning using CodeQL in GitHub. Which of the following entries will Christopher find for CodeQL analysis of C++ code?)
Answer: A
Explanation:
When GitHub Code Scanning is enabled using CodeQL, each supported programming language is identified by a specific language key. For C++ code, CodeQL uses the identifiercpp, not "cp." CodeQL workflows are commonly configured to run during pull request events so that security issues and coding errors can be detected and reviewed before code is merged into the main branch. As a result, the CodeQL analysis entry displayed in GitHub Actions and the Security tab for C++ pull request analysis appears asCodeQL/Analyze (cpp) (pull-request). Options A and B are incorrect because "cp" is not a valid CodeQL language identifier.
Option C uses the correct language identifier but references an incorrect event format. Identifying the correct CodeQL analysis entry helps DevSecOps engineers confirm that scans are executing correctly for the intended language during the Code stage and that security feedback is available early in the development lifecycle.
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NEW QUESTION # 79
(Thomas Gibson has been working as a DevSecOps engineer in an IT company that develops software products and web applications related to law enforcement. To automatically execute a scan against the web apps, he would like to integrate InsightAppSec plugin with Jenkins. Therefore, Thomas generated a new API Key in the Insight platform. Now, he wants to install the plugin manually. How can Thomas install the InsightAppSec plugin manually in Jenkins?)
Answer: C
Explanation:
Jenkins plugins are distributed and installed as .hpi files. To manually install a plugin, administrators upload the .hpi file through the Jenkins Plugin Manager using the "Upload Plugin" option. This approach is commonly used in environments with restricted internet access or when custom plugin versions are required. .
war files are used for deploying the Jenkins application itself, not plugins, while .zip and .conf files are not recognized plugin formats. Installing the InsightAppSec plugin allows Jenkins pipelines to automatically trigger dynamic application security scans during the Build and Test stage. This integration ensures that web applications are continuously evaluated for vulnerabilities before deployment, supporting proactive security testing and risk reduction.
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NEW QUESTION # 80
Terry Diab has been working as a DevSecOps engineer in an IT company that develops software products and web applications for a call center. She would like to integrate Snyk with AWS CodeCommit to monitor and remediate vulnerabilities in the code repository. Terry pushed code to AWS CodeCommit; this triggered Amazon EventBridge Rule, which then triggered AWS CodePipeline. AWS CodePipeline passed code to Snyk CLI run. Who among the following interacts with Snyk CLI and sends the results to Snyk UI?
Answer: B
Explanation:
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.
NEW QUESTION # 81
A software development team is running a high-traffic web application on Google Cloud and wants to optimize CPU and memory usage. They decide to use Google Cloud Profiler to identify the parts of their code consuming the most CPU and memory, analyze performance without impacting the application's production environment, optimize resource-intensive functions to improve efficiency. Which feature of Google Cloud Profiler allows the team to analyze performance in production without significant impact?
Answer: A
Explanation:
Cloud Profiler is designed with low overhead (statistical sampling), so it can profile CPU and memory continuously in production with minimal performance impact-letting the team find resource-heavy code safely. It does not auto-optimize code, provide security protections, or rely on Cloud Logging for profiling.
NEW QUESTION # 82
A fintech company recently suffered a data breach caused by a vulnerability in their web application. Upon investigation, the security team discovered that their reliance on manual vulnerability testing had failed to identify critical attack vectors that adversaries exploited. To prevent similar incidents, the company wants to enhance its DevSecOps pipeline by integrating a security solution that can automatically detect vulnerabilities in the running application and identify potential attack paths. Which approach should the company adopt to improve security in the production environment?
Answer: D
Explanation:
DAST tools test the running application from the outside, automatically detecting vulnerabilities and simulating real attack vectors/paths in the production-like environment-catching what manual testing missed. SAST analyzes code before runtime and wouldn't cover the running app; checklists are still manual, and a WAF blocks attacks but doesn't identify the application's own vulnerabilities.
NEW QUESTION # 83
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