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NEW QUESTION # 119
A cybersecurity team at a fintech company is implementing a DevSecOps pipeline to enhance the security and quality of their AWS-hosted applications. As part of their workflow, they integrate SonarCloud with AWS CodePipeline and CodeBuild to analyze source code for vulnerabilities before deployment. During a security audit, the team notices inconsistencies in scan results, with some repositories not being analyzed as expected. After reviewing their integration setup, they suspect that a misconfiguration occurred when linking SonarCloud with their version control system.Which of the following actions should be taken to ensure the correct integration of SonarCloud with AWS CodePipeline and CodeBuild?
Answer: D
Explanation:
Inconsistent scans across repositories point to a misconfigured link between SonarCloud and the version control system. The correct fix is to verify that the right repositories are selected in the SonarCloud project binding and that the correct branch is bound, so every intended repo is analyzed. Editing buildspec.yml or reinstalling the plugin does not fix repository binding, and AWS Inspector is a different, unrelated service.
NEW QUESTION # 120
Katie Holmes is working as a DevSecOps engineer at SeCSafe Anti-virus. The DevOps team of her organization has developed a distributed application with multiple microservices. Katie deployed all the microservices to the Kubernetes nodes successfully. The DevOps team approached Katie and informed her that the application is not working. Katie wants to check whether the Kubernetes cluster is working or not. Which of the following commands should Katie run step by step to verify that the Kubernetes is working?
Answer: D
Explanation:
Kubernetes clusters are managed and inspected using the kubectl command-line tool. To verify whether a Kubernetes cluster is functioning correctly, administrators commonly run kubectl version to confirm that both the client and server components are reachable and operational. This is followed by kubectl cluster-info, which displays information about the cluster's control plane and core services. These commands together confirm API server availability, cluster connectivity, and basic health status. The other options list invalid command names such as kube, kubernetes, or kube- etcd, which are not used for standard cluster validation. Performing these checks during the Operate and Monitor stage helps quickly identify whether application issues stem from cluster-level problems or application-level misconfigurations. This supports faster troubleshooting and more reliable production operations.
NEW QUESTION # 121
William Scott, after completing his graduation in computer science, joined an IT company as a DevSecOps engineer. His team leader has asked him to use GitHub Code Scanning for evaluating the source code in his organization's GitHub repository to detect security issues and coding errors. How can William set up coding scanning in GitHub repository?
Answer: A
Explanation:
GitHub Code Scanning is a built-in security capability designed to automatically analyze source code for security vulnerabilities and coding errors. The primary and officially supported engine for GitHub Code Scanning is CodeQL. CodeQL works by converting source code into a database and running security queries to detect issues such as injection flaws, insecure coding patterns, and logic errors. William can enable CodeQL by configuring GitHub Actions with either the default or advanced CodeQL workflow. Once enabled, CodeQL scans are triggered on events such as code pushes and pull requests, and the results appear as code scanning alerts in the repository's Security tab. Gauntlt is a security testing harness used mainly for infrastructure and application testing, GitMiner is used to discover sensitive data like secrets in repositories, and OWASP ZAP is a dynamic application security testing tool used against running applications. None of these tools configure GitHub's native Code Scanning feature. Therefore, CodeQL is the correct tool to set up GitHub Code Scanning in the Code stage of a DevSecOps pipeline.
NEW QUESTION # 122
Andrew Gerrard has recently joined an IT company located in Fairmont, California, as a DevSecOps engineer. Due to robust security and cost-effective service provided by AWS, his organization has migrated all the workloads from on-prem to AWS cloud in January of 2020.
Andrew's team leader has asked him to integrate AWS Secret Manager with Jenkins. To do so, Andrew installed the "AWS Secret Manager Credentials provider" plugin in Jenkins and configured an IAM policy in AWS that allows Jenkins to take secrets from AWS Secret manager.
Which of the following file should Andrew edit to add access id and secret key parameters along with the region copied from AWS?
Answer: C
Explanation:
On Linux systems, Jenkins environment variables such as AWS access key ID, secret access key, and default region are commonly configured in the /etc/sysconfig/Jenkins file. This file allows administrators to define environment variables that are loaded when the Jenkins service starts.
By placing AWS credentials and region information in this file, Jenkins jobs and plugins--such as the AWS Secrets Manager Credentials Provider--can securely access AWS resources. The other options reference invalid paths or unrelated configuration files (such as Filebeat). Editing
/etc/sysconfig/Jenkins ensures consistent credential availability across Jenkins jobs while supporting secure integration with AWS services during the Code stage.
NEW QUESTION # 123
David, a security analyst, is responsible for identifying vulnerabilities that arise due to real-time interactions with an application. His organization requires security testing that can analyze how authentication and authorization mechanisms handle requests during execution. Which security testing approach should David implement, and in which phase should it be conducted?
Answer: D
Explanation:
Vulnerabilities arising from real-time interaction with a running application-including how authentication and authorization handle requests during execution-are found with Dynamic Application Security Testing (DAST), performed in the Test phase against a running build. SAST examines static code, and penetration testing typically occurs later against staging/production-like targets, not as the standard Test-phase approach.
NEW QUESTION # 124
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