AI Chatbots and LLM-Powered Testing Applications for Software Testing CT-GENAI Practice Questions (Page 5)

Questions 21–23

1. 21application · easy

   A test team wants to use an AI chatbot to help new testers understand the application under test. The chatbot is given access to the requirements documents and user manuals. What is the most appropriate use of this chatbot?

   • ATo automatically execute test cases against the application.
   • BTo provide instant, conversational answers to questions about the application's features and expected behavior.
   • CTo generate the final test report without human review.
   • DTo replace the need for a test environment.
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2. 22application · medium

   A company wants to use an AI chatbot to help testers quickly find relevant information in a large set of test documentation. The chatbot is connected to a vector database of the documents. What is the primary benefit of this setup?

   • AIt allows testers to ask questions in natural language and get answers grounded in the documentation.
   • BIt replaces the need for testers to read any documentation.
   • CIt automatically updates the documentation when the software changes.
   • DIt guarantees that the chatbot's answers are always 100% accurate.
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3. 23application · medium

   A development team wants to integrate an LLM-powered application into their CI/CD pipeline to automatically generate release notes based on commit messages and merged pull requests. What is a key consideration for the accuracy of these notes?

   • AThe quality of the generated notes depends on the clarity and consistency of the commit messages and PR descriptions.
   • BThe LLM should be given access to the production database to verify the changes.
   • CThe LLM must be retrained on the company's codebase before each release.
   • DThe LLM will automatically detect and include all breaking changes.
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