Building Generative AI Capabilities in Test Teams CT-GENAI Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A test team is adopting GenAI for test automation. Some testers are enthusiastic, while others are resistant because they believe GenAI will make their skills obsolete. The team lead wants to foster a culture that embraces GenAI while maintaining team morale. What is the best approach?

   • AProvide a financial incentive for testers who adopt GenAI quickly.
   • BReassign resistant testers to non-GenAI tasks to avoid conflict.
   • CMandate that all testers use GenAI and measure their usage to ensure compliance.
   • DAcknowledge the concerns and create a safe environment for testers to experiment with GenAI, emphasizing that it augments their skills.
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2. 2foundation · easy

   Which action best fosters a culture that embraces GenAI tools in testing workflows?

   • AWaiting for the tools to become perfect before introducing them
   • BMandating the use of GenAI tools for all testing tasks immediately
   • CRestricting GenAI usage to a small group of experts to avoid mistakes
   • DEncouraging team members to experiment with GenAI tools and share their findings
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4. 3application · medium

   A test team is introducing GenAI for test data generation. Some testers are worried about the accuracy of the generated data. The team lead wants to build trust in GenAI. What is the best way to do this?

   • AShow testers examples of GenAI-generated test data that are accurate and relevant.
   • BProvide a detailed technical explanation of how GenAI works.
   • CLimit the use of GenAI to non-critical test data.
   • DTell testers that GenAI is reliable and they should trust it.
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5. 4foundation · easy

   Which competency is most directly required for a test team member to effectively use a generative AI tool that creates test data from natural language descriptions?

   • AKnowledge of cloud infrastructure deployment and management
   • BAbility to write complex SQL queries to retrieve data from databases
   • CExpertise in training machine learning models from scratch
   • DSkill in writing clear and specific prompts that describe the desired test data
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6. 5foundation · easy

   Which knowledge area is most important for a tester who will review and validate the outputs of a generative AI tool that generates test cases?

   • AUnderstanding of test design techniques and coverage criteria
   • BFamiliarity with the history of software testing methodologies
   • CProficiency in a specific programming language like Java or Python
   • DAbility to configure network firewalls and security groups
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