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NEW QUESTION # 75
(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: D
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.
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NEW QUESTION # 76
An enterprise healthcare application was recently targeted by a sophisticated attack. The attackers exploited misconfigured data flows and improperly secured API endpoints, exposing sensitive patient records. The DevSecOps team immediately deployed a tool to analyze the application's architecture by modeling its assets in a YAML file. This analysis revealed the exact vulnerabilities and provided detailed mitigation strategies, such as securing data flows with encryption and implementing stricter API access controls. The generated report helped the team resolve the issues swiftly and prevent future breaches. Which tool was likely used to handle this scenario?
Answer: B
Explanation:
Threagile is the open-source toolkit that models an application's architecture as assets in a YAML file and automatically analyzes it to reveal vulnerabilities and generate reports with mitigation strategies-exactly the described workflow. Snyk scans dependencies/code, GitLab Duo is AI assistance, and AWS Shield is DDoS protection.
NEW QUESTION # 77
Fatima Zahra Bennani, a DevSecOps engineer at a Casablanca telecom, needs to verify that a specific compliance control - encryption at rest for all cloud storage buckets - is continuously enforced across the entire AWS environment, not just checked once during initial setup. Which type of tool should Fatima adopt?
Answer: A
Explanation:
CSPM tools (such as AWS Security Hub, Prisma Cloud, or Wiz) continuously monitor cloud environments against defined compliance benchmarks and security policies, automatically detecting configuration drift -- such as a storage bucket losing encryption-at-rest settings -- and alerting or remediating in near real time, which directly satisfies Fatima's need for ongoing, continuous enforcement rather than a point-in-time check. A one-time manual audit spreadsheet only captures a snapshot in time and cannot detect drift that occurs afterward. A static code analyzer for application source examines code for vulnerabilities and has no visibility into live cloud resource configuration. A Git commit hook operates on source code repository events and has no relationship to ongoing cloud infrastructure compliance monitoring. Since Fatima needs continuous, automated verification of a cloud compliance control, a CSPM tool is correct.
NEW QUESTION # 78
(Steven Gerrard has been working as a DevSecOps engineer at an IT company that develops software products and applications related to the healthcare industry. His organization has been using Azure DevOps services to securely and quickly develop software products. To ensure that the deployed infrastructure is in accordance with the architecture and industrial standards and the security policies are appropriately implemented, she would like to integrate InSpec with Azure. Therefore, after installation and configuration of InSpec, she created InSpec profile file and upgraded it with personal metadata and Azure resource pack information; then she wrote the InSpec tests. Which of the following commands should Steven use to run InSpec tests to check the compliance of Azure infrastructure?)
Answer: C
Explanation:
Chef InSpec executes compliance tests using the inspec exec command. When testing Azure infrastructure, InSpec requires a target specification using the -t flag with the Azure transport identifier azure://. The correct command is inspec exec inspec-tests/integration/ -t azure://. Options using exe instead of exec are invalid due to incorrect command spelling. Options that use the -it flag misuse command-line parameters that are not intended for target selection. Running InSpec tests in this way allows DevSecOps teams to validate that Azure resources comply with architectural, security, and regulatory requirements. Integrating these checks into the Build and Test stage ensures continuous compliance and reduces the risk of insecure infrastructure reaching production environments.
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NEW QUESTION # 79
(William Edwards is working as a DevSecOps engineer at SVR Software Solution Pvt. Ltd. His organization develops software products and applications related to digital marketing. William integrated Prisma Cloud with Jenkins to detect threat-intelligence based threat detection. This integration will allow him to scan container images and serverless functions for security issues in the CI/CD pipeline. Which of the following is employed by Prisma Cloud to understand the normal network behavior of each customer's cloud environment to detect network anomalies and zero-day attacks effectively with minimal false positives?.)
Answer: D
Explanation:
Prisma Cloud leveragesadvanced unsupervised machine learningto establish baselines of normal behavior within a customer's cloud environment. By analyzing patterns in network traffic, resource interactions, and workload behavior without relying on labeled training data, it can detect anomalies and potential zero-day attacks with minimal false positives. Supervised approaches require predefined labels and known attack patterns, which limits effectiveness against new or unknown threats. Unsupervised data mining alone lacks the adaptive intelligence provided by machine learning models. Using unsupervised machine learning during the Build and Test stage enables continuous, intelligent security analysis across dynamic cloud-native workloads, supporting proactive threat detection in DevSecOps pipelines.
NEW QUESTION # 80
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