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Certified Tester Testing with Generative AI

Domain 2Objective 2

Core Prompting Techniques for Software Testing CT-GENAI Practice Questions (Page 4)

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 16–20

  1. 16foundation · easy

    A tester includes the user story and acceptance criteria in the prompt before asking for test cases. Which prompting technique is being used?

    Select an answer first
  2. 17foundation · easy

    What is the main benefit of using few-shot prompting for test case generation?

    Select an answer first
  3. 18expert · hard

    A team is evaluating an AI's ability to generate test cases for a new feature. They want to assess the AI's baseline performance without any examples or specific role assignments. They also want to understand the AI's reasoning to identify potential gaps. Which approach is most appropriate?

    Select an answer first
  4. 19application · medium

    A tester is using an AI to generate test data for a user registration form. The first prompt produced data that was mostly valid but missed several invalid input formats. The tester wants to improve the output to include more negative test cases. What is the best next step?

    Select an answer first
  5. 20foundation · easy

    A tester asks the AI: 'Think step by step about the possible inputs for a function that divides two numbers, then generate test cases.' Which prompting technique is being used?

    Select an answer first
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