Basics of Generative AI and LLMs CT-GENAI Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Which of the following is a typical application of generative AI in software testing?

   • AAutomatically generating test cases from requirements or user stories.
   • BConfiguring the network firewall for the test environment.
   • CCompiling the source code of the application under test.
   • DDeploying the application to a production server.
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2. 17expert · hard

   A test engineer is using an LLM to generate test data for a system that requires data in a specific format. The LLM generates data that is not in the required format. What is the most likely reason?

   • AThe LLM is not capable of generating data in a specific format
   • BThe LLM's tokenization process corrupted the format
   • CThe LLM is biased against the required format
   • DThe LLM was not given enough examples of the required format in the prompt
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4. 18application · medium

   A QA analyst is using an LLM to generate test cases from a specification. The model produces a test case that is logically inconsistent with the specification. What is the most likely reason for this?

   • AThe model is biased toward generating test cases that are more complex than the specification requires
   • BThe model's context window is too small, causing it to forget the specification
   • CThe model lacks true understanding of the specification and relies on statistical patterns
   • DThe model's tokenization process introduced errors in the specification text
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5. 19application · medium

   A QA team is deciding between using a generative AI model and a traditional automation script to create test data. The data must include realistic variations of customer names and addresses. What is the key advantage of using generative AI over the traditional script?

   • AGenerative AI does not require any training data
   • BGenerative AI is always faster than a traditional script
   • CGenerative AI is deterministic and produces the same output every time
   • DGenerative AI can produce new, realistic variations that are not explicitly programmed
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6. 20foundation · easy

   How can an LLM assist in defect analysis during software testing?

   • ABy summarizing and categorizing bug reports to help identify root causes.
   • BBy measuring the severity of the defect based on code complexity.
   • CBy running the application and reproducing the defect automatically.
   • DBy directly fixing the source code and committing the changes.
   Reveal Solution Discussion Select an answer first