Tooling and Automation CT-QDO Practice Questions (Page 4)

Questions 16–20

1. 16expert · hard · select all that apply

   A QA team is implementing a performance testing strategy for a new web application. They need to select tools and practices. Which of the following are appropriate tools or practices for performance testing? (Select all that apply.)

   • AUsing a monitoring tool to analyze the application's resource usage during the test
   • BUsing a unit testing framework like JUnit to test the application's response time
   • CIntegrating performance tests into the CI/CD pipeline to run on a schedule
   • DUsing a load testing tool like JMeter to simulate concurrent users
   • ERunning performance tests only once before the initial release
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2. 17foundation · easy

   Which tool selection criterion is primarily concerned with the availability of documentation, training, and vendor assistance?

   • ASupport
   • BCompatibility
   • CScalability
   • DAutomation
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4. 18foundation · easy

   When selecting a tool for a DevOps team, which criterion is most important to ensure the tool can work with the team's existing infrastructure and other tools?

   • ASupport
   • BCompatibility
   • CCost
   • DEase of use
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5. 19application · medium

   A development team is adopting a test automation framework to support continuous testing. They want to ensure that tests are executed automatically in the CI/CD pipeline after every code commit, and that the results are reported back to the developers quickly. Which feature of a test automation framework is MOST directly responsible for this capability?

   • AThe ability to generate detailed HTML test reports
   • BA command-line interface (CLI) for execution and integration
   • CA built-in test case management module
   • DSupport for data-driven testing to use multiple datasets
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6. 20expert · hard

   A team is using a pipeline orchestration tool to deploy a microservices application to Kubernetes. They have two services: 'Service A' and 'Service B'. 'Service B' depends on 'Service A' being available. The team wants to ensure that 'Service B' is only deployed after 'Service A' has been successfully deployed and is ready to receive traffic. Which approach in the orchestration tool is the MOST robust?

   • AAdding a sleep command after deploying 'Service A' before deploying 'Service B'
   • BDeploying both services simultaneously and relying on Kubernetes to handle the dependency
   • CManually deploying 'Service A' and then triggering the pipeline for 'Service B'
   • DConfiguring a readiness check for 'Service A' before starting the deployment of 'Service B'
   Reveal Solution Discussion Select an answer first