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Certified Tester Testing with Generative AI

Domain 1Objective 5

AI Chatbots and LLM-Powered Testing Applications for Software Testing CT-GENAI Practice Questions (Page 2)

Part of the Introduction to Generative AI for Software Testing domain, which makes up ~12% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–5 in this domain), expect 1–1 from this objective — we provide 23 practice questions to prepare you well beyond it. (estimate)

23questions here
5free pages
4concepts

Questions 6–10

  1. 6application · medium

    A team uses an LLM to generate unit test cases for a Python module. The LLM produces tests that pass, but the team discovers the tests do not actually verify the core logic; they only check that the function runs without errors. What is this an example of?

    Select an answer first
  2. 7application · medium

    A QA team uses an AI chatbot to help generate test data for a login feature. The chatbot suggests using a list of common passwords. What is the primary risk of using this data for security testing?

    Select an answer first
  3. 8foundation · easy

    What is a primary benefit of using an AI chatbot in a software testing context?

    Select an answer first
  4. 9foundation · easy

    What is a known limitation of using AI chatbots in software testing?

    Select an answer first
  5. 10foundation · easy

    In which of the following ways can an AI chatbot assist with defect reporting?

    Select an answer first
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