Essential Skills and Knowledge for Testing with Generative AI CT-GENAI Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is a common limitation of generative AI when used for test case generation?

   • AThe AI always requires a GPU to run, making it impractical.
   • BThe AI cannot generate any test cases without human-provided examples.
   • CThe AI may generate test cases that are syntactically correct but semantically invalid for the application.
   • DThe AI is always too slow to be used in practice.
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2. 22application · medium

   A QA team wants to integrate a generative AI tool into their existing test automation framework. The tool can generate test scripts from natural language. The team uses a custom test framework that is not widely known. What is the best way to integrate the AI tool?

   • ASwitch to a more popular test framework that the AI tool already supports.
   • BUse the AI tool to generate scripts in a generic format and manually convert them.
   • CTrain or fine-tune the AI model on the custom framework's syntax and patterns.
   • DUse the AI tool only for test case generation, not script generation.
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4. 23foundation · easy

   Which statement best describes the difference between the training and inference phases of a generative AI model?

   • ATraining adjusts the model's parameters using a dataset, while inference uses the trained model to generate new outputs.
   • BTraining generates outputs from prompts, while inference updates the model's parameters based on user feedback.
   • CTraining and inference both require labeled datasets and are performed only during model development.
   • DTraining is performed only once, while inference is performed only during the initial model validation.
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5. 24application · medium

   A QA team uses a generative AI tool to convert user stories into automated test scripts for their Selenium framework. The tool generates scripts that pass locally but fail in the CI pipeline due to timing issues. What is the most effective way to address this?

   • AIncrease the default timeout in the CI pipeline configuration.
   • BManually fix the timing issues in each generated script after the CI run.
   • CAdjust the AI tool's prompt to include explicit wait strategies and retry logic in the generated scripts.
   • DSwitch to a different automation framework that handles timing automatically.
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6. 25application · medium

   A test manager wants to use a generative AI model to automatically generate test scripts for a legacy application with poor documentation. The model was trained on modern web applications. What is the most likely challenge?

   • AThe model will require a large amount of computational resources to run.
   • BThe model will generate scripts that are too slow to execute.
   • CThe model may generate scripts that do not match the legacy application's actual behavior.
   • DThe model will not be able to generate any test scripts because it lacks documentation.
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