5.1 Describe AI's Role Across the Software Development Lifecycle (requirements, Prototyping, Implementation, Testing, Deployment) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A QA team is testing a large web application with many features. They have limited time and want to prioritize testing on the areas most likely to fail after a recent code change. Which AI-driven testing approach best supports this goal?

   • AUse AI to analyze historical test results and code changes to predict high-risk areas, then run targeted tests there.
   • BRun all existing regression tests in a random order to ensure full coverage.
   • CAsk developers to manually identify the riskiest areas and write tests for them.
   • DUse AI to generate new test cases for every feature, regardless of the code change.
   Reveal Solution Discussion Select an answer first
2. 17expert · hard

   A development team is using AI code generation to speed up implementation. However, they are concerned about the quality and security of the generated code. They want to maintain a high standard of code quality without slowing down the development process. Which approach best addresses this concern?

   • AIntegrate AI code generation with automated code review and security scanning tools in the CI/CD pipeline.
   • BUse AI code generation only for non-critical parts of the codebase.
   • CUse AI code generation and rely on production monitoring to catch any issues.
   • DRequire developers to manually review all AI-generated code before committing.
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   How does AI accelerate the prototyping phase of the SDLC?

   • ABy automatically rolling back releases
   • BBy analyzing runtime logs for security threats
   • CBy predicting production failures before deployment
   • DBy automatically generating code snippets and suggesting design layouts
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which AI feature most directly supports rapid iteration on a prototype based on user feedback?

   • AAutomated code generation that adapts to new input
   • BPredictive failure analysis
   • CIntelligent test execution
   • DAutomated release management
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   Which AI technique is used to prioritize test execution based on the likelihood of failure?

   • ANatural language processing
   • BAutomated code generation
   • CAutomated rollback
   • DPredictive failure analysis
   Reveal Solution Discussion Select an answer first