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NEW QUESTION # 50
(Kevin Williamson is working as a DevSecOps engineer in an IT company located in Los Angles, California.
His team has integrated Jira with Jenkins to view every issue on Jira, including the status of the latest build or successful deployment of the work to an environment. Which of the following can Kevin use to search issues on Jira?)
Answer: C
Explanation:
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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NEW QUESTION # 51
A multinational retail company is adopting AWS to modernize its software development lifecycle and improve automation, scalability, and deployment efficiency. The DevOps team is currently facing several challenges, including manual code compilation and testing, slow-release cycles, and frequent deployment errors that lead to application downtime. To address these issues, the company plans to integrate AWS DevOps services to optimize its CI/CD pipeline. The team needs a solution that can compile source code, run automated tests, and generate deployment-ready artifacts without requiring manual setup or server management. By implementing this solution, they aim to process multiple builds in parallel, improve test automation, and accelerate software delivery. Which AWS DevOps service should the company use to meet this requirement?
Answer: A
Explanation:
AWS CodeBuild is the fully managed build service that compiles source code, runs automated tests, and produces deployment-ready artifacts-scaling to process multiple builds in parallel with no servers to manage. CodePipeline orchestrates the workflow, CodeDeploy performs deployments, and CodeCatalyst is a broader unified DevOps service, but the described build/test/artifact capability is CodeBuild.
NEW QUESTION # 52
(William McDougall has been working as a DevSecOps engineer in an IT company located in Sacramento, California. His organization has been using Microsoft Azure DevOps service to develop software products securely and quickly. To take proactive decisions related to security issues and to reduce the overall security risk, William would like to integrate ThreatModeler with Azure Pipelines. How can ThreatModeler be integrated with Azure Pipelines and made a part of William's organization DevSecOps pipeline?)
Answer: B
Explanation:
ThreatModeler integration with Azure Pipelines is achieved using abidirectional API, which allows automated and continuous interaction between the pipeline and the threat modeling platform. This bidirectional communication enables Azure Pipelines to trigger threat modeling activities while also receiving results, risk scores, and actionable insights back from ThreatModeler. Such feedback loops are critical for proactive security decision-making during the Plan stage of DevSecOps. Unidirectional APIs or UI-based integrations limit automation and do not support continuous feedback, making them unsuitable for pipeline- driven workflows. UI-based approaches also introduce manual steps, which conflict with DevSecOps principles of automation and consistency. By using a bidirectional API, William's organization can embed threat modeling into the planning process, identify architectural risks early, and ensure security considerations are continuously enforced as part of the pipeline.
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NEW QUESTION # 53
(Cheryl Hines has been working as a senior DevSecOps engineer over the past 5 years in an IT company. Due to the robust features offered by Keywhiz secret management tool such as compatibility with all software, untraceable secrets, no impact of power cut or server outage, etc., Cheryl's organization is using it for managing and distributing secrets. To add a secret using Keywhiz CLI, which of the following commands should Cheryl use?)
Answer: C
Explanation:
Keywhiz CLI requires authentication before secrets can be added. The correct process involves logging in using the --devTrustStore option and authenticating as an administrator using the --admin flag. Once authenticated, the add secret command is used with input redirection to securely store the secret. Options that use incorrect flag names, incorrect casing, or invalid trust store identifiers do not follow Keywhiz CLI syntax.
Adding secrets through Keywhiz instead of embedding them in code supports secure secret distribution and management, which is a fundamental aspect of DevSecOps culture. This approach ensures secrets remain protected, auditable, and available even during outages.
NEW QUESTION # 54
Emma, a DevSecOps engineer, is responsible for improving the efficiency, consistency, and security of infrastructure deployments across multiple environments. Her team has been relying on custom scripts to provision infrastructure, but this approach has led to inconsistent deployments across different environments, causing reliability issues. To address these challenges, Emma needs to implement a new infrastructure automation solution that Supports test-driven development (TDD) to validate configurations before deployment and ensures secure and repeatable infrastructure deployments across environments. Which tool should Emma implement to meet these requirements?
Answer: A
Explanation:
Chef supports infrastructure as code with test-driven development: configurations are written as code (cookbooks/recipes) and validated before deployment using tools like Test Kitchen and InSpec, ensuring secure, consistent, repeatable deployments across environments-fixing Emma's inconsistency problem. Jenkins is CI orchestration, Datadog is monitoring, and JFrog is artifact management.
NEW QUESTION # 55
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