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Certified Tester Testing with Generative AI

Domain 2Objective 1

Structure of Prompts for Generative AI in Software Testing CT-GENAI Practice Questions (Page 5)

Part of the Prompt Engineering for Effective Software Testing domain, which makes up ~30% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~8–12 in this domain), expect 1–1 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here
6free pages
10concepts

Questions 21–25

  1. 21foundation · easy

    Why is specifying the output format important in a prompt for generating test artifacts?

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  2. 22foundation · easy

    Which action is an example of iterative refinement of a prompt?

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  3. 23foundation · easy

    Which of the following is an example of providing context in a prompt for generating test cases?

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  4. 24foundation · easy

    Which component of a prompt specifies the desired structure of the AI's response, such as a table or a bulleted list?

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  5. 25expert · hard

    A test engineer is using an AI to generate a traceability matrix linking requirements to test cases. The initial output is a long narrative that is difficult to review. The engineer wants a more structured output that is easy to verify. Which refinement is most effective?

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