Essential Skills and Knowledge for Testing with Generative AI CT-GENAI Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is a common way to integrate generative AI with existing test management tools?

   • AUsing the AI to directly modify the source code of the test management tool.
   • BManually copying AI-generated tests from a chat interface into the tool.
   • CUsing APIs to send requirements to the AI and receive generated test cases back into the tool.
   • DReplacing the test management tool entirely with a generative AI chatbot.
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2. 2application · medium

   A test team uses a generative AI model to generate test data that includes customer email addresses. The model occasionally produces real email addresses from its training data. What is the most appropriate action?

   • AImplement a filter to detect and remove any generated email addresses that match real known addresses.
   • BUse the generated email addresses anyway because they are random.
   • CStop using generative AI for test data generation.
   • DIgnore the issue because the model is only used in testing.
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4. 3expert · hard

   A test team uses a generative AI model to analyze test logs and predict which tests are likely to fail. The model has high recall but low precision. The team has limited time to investigate failures. What is the best way to use the model's output?

   • AUse the model to automatically skip tests it predicts will fail.
   • BUse the model's predictions to prioritize test execution, but have testers confirm before investigating.
   • CInvestigate all tests the model flags as likely to fail.
   • DIgnore the model's predictions and run all tests equally.
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5. 4foundation · easy

   What is a key benefit of using generative AI in software testing?

   • AIt eliminates the need for test maintenance because AI-generated tests are always up to date.
   • BIt can increase test coverage by generating a wide variety of test scenarios from requirements.
   • CIt guarantees that test results are always accurate and free from false positives.
   • DIt ensures that all tests are executed without any human involvement.
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6. 5foundation · easy

   Why is human oversight necessary when using generative AI in testing?

   • ABecause AI cannot generate any useful test cases without human input.
   • BBecause AI can produce plausible but incorrect outputs that need human verification.
   • CBecause AI is always biased and cannot be trusted at all.
   • DBecause AI requires constant human prompting to function.
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