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NEW QUESTION # 34
(Erica Mena has been working as a DevSecOps engineer in an IT company that provides customize software solutions to various clients across United States. To protect serverless and container applications with RASP, she would like to create an Azure container instance using Azure CLI in Microsoft PowerShell. She created the Azure container instance and loaded the container image to it. She then reviewed the deployment of the container instance. Which of the following commands should Erica run to get the logging information from the Azure container instance? (Assume the resource group name as ACI and container name as aci-test- closh.))
Answer: C
Explanation:
Azure Container Instances provide built-in logging capabilities that can be accessed using the Azure CLI. To retrieve logs from a deployed container instance, the correct command isaz container logsfollowed by the resource group and container name. The proper syntax requires double-dash parameters:--resource-groupand
--name. In Erica's case, the correct command is az container logs --resource-group ACI --name aci-test-closh.
Options that use "az get container logs" are invalid because "get" is not a supported verb in this context.
Option C uses incorrect single-dash flags, which do not match Azure CLI standards. Accessing container logs during the Code stage helps engineers validate application behavior, identify runtime errors, and ensure that security instrumentation such as RASP agents are functioning correctly before progressing further in the pipeline.
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NEW QUESTION # 35
Paul McCartney has been working as a senior DevSecOps engineer in an IT company over the past 5 years. He would like to integrate Conjur secret management tool into the CI/CD pipeline to secure the secret credentials in various phases of development. To integrate Conjur with Jenkins, Paul downloaded Conjur.hpi file and uploaded it to the Upload Plugin section of Jenkins. Paul declared a policy branch using a code and saved it as a .yml file. Which of the following commands should Paul use to load this policy in Conjur root?
Answer: C
Explanation:
Conjur policies define access controls, authentication rules, and secret variables, and they must be loaded into the correct policy branch. The conjur policy load command uses the -b flag to specify the policy branch and the -f flag to specify the policy file. To load a policy into the root branch, the correct command is conjur policy load -b root -f <file-name>. Options that reverse or misuse these flags are invalid and would either fail or load the policy incorrectly. Loading policies correctly during the Build and Test stage ensures that Jenkins pipelines can securely access secrets at runtime, enforcing centralized secret management, least-privilege access, and compliance with security requirements.
NEW QUESTION # 36
(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: B
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.
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NEW QUESTION # 37
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: C
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 # 38
(Dustin Hoffman has been working as a DevSecOps engineer in an IT company located in San Diego, California. For detecting new security vulnerabilities at the beginning of the source code development, he would like to integrate Checkmarx SCA tool with GitLab. The Checkmarx template has all the jobs defined for pipeline. Where should Dustin incorporate the Checkmarx template file 'https://raw.githubusercontent.com
/checkmarx-ltd/cx-flow/develop/templates/gitlab/v3/Checkmarx.gitlab-ci.yml'?)
Answer: C
Explanation:
GitLab CI/CD pipelines are defined using a configuration file namedgitlab-ci.yml, which must be placed in the root directory of the repository. This file controls pipeline stages, jobs, and template inclusions. To integrate Checkmarx SCA using a predefined template, the template reference must be included in the root- level gitlab-ci.yml file so GitLab can load and execute the defined jobs automatically. The other filenames listed in the options are not recognized by GitLab as valid pipeline configuration files. Integrating SCA at the Code stage allows early detection of vulnerable open-source dependencies, reducing remediation cost and preventing insecure components from progressing further in the DevSecOps pipeline.
NEW QUESTION # 39
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