Application Architectures and Development Lifecycle DSE Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A company wants to reduce the time between code commit and production deployment. The development and operations teams currently work in silos, and deployments are manual and error-prone. Which combination of DevOps practices would most directly address these issues?

   • ACreate a CI/CD pipeline that builds, tests, and deploys automatically, and have developers and operations collaborate on pipeline design.
   • BIncrease the frequency of manual deployments and hold weekly meetings between teams.
   • CUse a version control system but keep the deployment process manual.
   • DEstablish a shared on-call rotation and use a configuration management tool to provision servers.
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2. 2application · medium

   A government agency is developing a system with fixed requirements that are unlikely to change. The project has strict documentation and approval gates at each phase. Which development lifecycle model is most appropriate?

   • ASpiral model with iterative risk analysis
   • BAgile with two-week sprints and continuous feedback
   • CWaterfall model with sequential phases and formal sign-offs
   • DDevOps with continuous deployment to production
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4. 3foundation · easy

   What is the first stage of a typical CI/CD pipeline?

   • ASource code checkout from version control
   • BUser acceptance testing
   • CDeployment to production
   • DMonitoring and alerting
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5. 4expert · hard

   A team is designing a CI/CD pipeline for a critical financial application. They want to ensure that security vulnerabilities are caught before deployment, but they also want to avoid slowing down the pipeline. Which combination of practices best achieves this?

   • ARun SAST only after deployment to production
   • BRun SAST only in a nightly build
   • CSkip SAST and rely on penetration testing once a year
   • DRun static application security testing (SAST) in parallel with unit tests in the CI stage
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6. 5application · medium

   A large enterprise has multiple applications that need to share customer data. The architecture team wants to promote reusability and loose coupling between applications, but they are concerned about the complexity of managing many small services. Which architecture style best balances these concerns?

   • AMicroservices architecture with each service having its own database.
   • BClient-server architecture with a central database accessed by all applications.
   • CService-Oriented Architecture (SOA) with an enterprise service bus (ESB) for communication.
   • DMonolithic architecture with shared libraries for common functionality.
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