Phases When Adopting Generative AI in Software Testing CT-GENAI Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Which of the following is a common challenge during the 'Exploration and Pilot' phase of adopting generative AI in testing?

   • AExcessive cost of cloud infrastructure for running AI models
   • BResistance from regulatory bodies to approve AI-generated test evidence
   • CLack of skilled personnel to evaluate and interpret AI-generated results
   • DDifficulty in scaling the AI tool to thousands of test cases
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2. 17foundation · easy

   What is a primary focus of the 'Optimization and Governance' phase in generative AI adoption for testing?

   • ARunning the first pilot project to test the AI tool's capabilities
   • BExpanding the use of the AI tool to all test teams without additional oversight
   • CMonitoring the performance of AI-generated tests and refining prompts for better results
   • DSelecting the most popular generative AI tool on the market
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4. 18expert · hard

   A test organization is in the optimization and governance phase. They have a governance board that reviews AI usage, but the board is slowing down the test teams' ability to adopt new AI features. The teams are frustrated and some have started using AI tools without approval. What is the best way to resolve this conflict?

   • AEliminate the governance board entirely to speed up adoption.
   • BStreamline the governance process by defining clear criteria for when approval is needed and delegating routine decisions.
   • CRequire all AI tool usage to go through the board for approval.
   • DAllow teams to use any AI tool without oversight, but document their usage.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   What is a key success factor for the 'Integration and Scaling' phase of generative AI adoption?

   • AKeeping the use of generative AI limited to a single pilot team
   • BEstablishing clear guidelines and training programs for test teams
   • CAvoiding any changes to existing test processes
   • DFocusing solely on the technical capabilities of the AI tool
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6. 20expert · hard

   A test organization is scaling generative AI from a pilot to multiple teams. They have a limited number of AI experts, and the teams have varying levels of experience with AI. The organization wants to ensure that all teams can use the AI effectively without overburdening the experts. Which approach is most effective?

   • AHave the experts generate all AI outputs for all teams.
   • BCreate a community of practice where teams share experiences and experts provide periodic coaching.
   • CProvide a one-time training session and then let teams work independently.
   • DAssign an AI expert to each team full-time.
   Reveal Solution Discussion Select an answer first