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Certified Tester Testing with Generative AI

Domain 2Objective 2

Core Prompting Techniques for Software Testing CT-GENAI Practice Questions (Page 1)

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 24 practice questions to prepare you well beyond it. (estimate)

24questions here
5free pages
7concepts

Questions 1–5

  1. 1foundation · easy

    What is the main benefit of contextual prompting for test generation?

    Select an answer first
  2. 2foundation · easy

    A test engineer wants to generate test cases for a login feature using a generative AI tool. Which prompting technique is most appropriate when the engineer wants the model to rely on its general knowledge without providing any examples?

    Select an answer first
  3. 3expert · hard

    A tester is using an AI to generate test data for a form with many fields and complex validation rules. The initial prompt produced data that was mostly valid but missed some edge cases. The tester wants to improve the coverage without spending too much time on manual review. What is the most efficient approach?

    Select an answer first
  4. 4expert · hard

    A QA team is generating test cases for a multi-step workflow. They have a set of well-written test cases for a similar workflow from a previous project. The new workflow has different business rules but the same step structure. They want the AI to generate test cases that follow the same structure but respect the new rules. Which approach is most effective?

    Select an answer first
  5. 5foundation · easy

    What is the primary goal of iterative refinement in prompt engineering for testing?

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