5.1 Describe AI's Role Across the Software Development Lifecycle (requirements, Prototyping, Implementation, Testing, Deployment) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is a primary benefit of integrating AI across the entire SDLC?

   • AAutomatic compliance with all regulations
   • BGuaranteed bug-free software
   • CImproved efficiency and quality through continuous automation and insight sharing
   • DElimination of all manual work
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2. 7expert · hard

   A large enterprise is adopting AI across the SDLC. They have multiple teams working on different projects, each with its own tools and processes. They want to standardize AI integration to improve efficiency and collaboration, but they also want to allow teams to customize AI tools to their specific needs. Which approach best balances standardization and flexibility?

   • AAllow each team to choose its own AI tools independently.
   • BUse AI to automatically generate all code and tests, eliminating the need for team-specific tools.
   • CEstablish a common AI platform with core capabilities, but allow teams to configure and extend it for their workflows.
   • DMandate a single AI tool for all teams to ensure consistency.
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4. 8foundation · easy

   In the implementation phase, which AI capability is primarily used to identify potential bugs in newly written code?

   • APredictive monitoring
   • BAutomated code review
   • CNatural language processing
   • DAutomated rollback
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5. 9foundation · easy

   During the requirements gathering phase, which AI capability is most directly used to analyze unstructured stakeholder feedback and extract actionable requirements?

   • ANatural language processing
   • BAutomated code generation
   • CPredictive failure analysis
   • DAutomated rollback
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6. 10application · medium

   A development team is implementing a new microservice. They want to use AI to improve code quality and catch bugs early, but they also need to maintain a consistent coding style across the team. Which combination of AI-assisted practices would best achieve this?

   • AUse AI to generate unit tests only, and rely on the tests to catch all bugs and enforce style.
   • BUse AI to generate the entire microservice from a natural language description, then deploy it without review.
   • CUse AI to automate the build pipeline, but continue manual code reviews and style checks.
   • DUse AI code completion for boilerplate and an AI code review tool that checks for style and common bug patterns.
   Reveal Solution Discussion Select an answer first