Certified Tester Testing with Generative AI
Domain 2Objective 9
Techniques for Evaluating and Iteratively Refining Prompts CT-GENAI Practice Questions (Page 2)
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 31 practice questions to prepare you well beyond it. (estimate)
31questions here
7free pages
8concepts
Questions 6–10
- 6
Which technique is most effective for identifying the root cause of a prompt failure where the model misunderstands a term?
Select an answer first - 7
Which source of feedback is most directly relevant for refining a prompt that generates test cases?
Select an answer first - 8
In the context of evaluating prompt outputs for software testing, which metric is most appropriate for measuring the proportion of generated test cases that are valid and correctly formatted?
Select an answer first - 9
Why is it important to document the evolution of a prompt over time?
Select an answer first - 10
A QA team uses a generative AI tool to generate test cases for a login module. After the first run, they manually review 50 generated test cases and find that 40 are directly usable, 5 need minor edits, and 5 are irrelevant. They modify the prompt to add more specific boundary-value instructions and run the tool again, producing another 50 cases. The team wants to objectively determine whether the prompt change improved output quality. Which approach gives the most reliable comparative signal?
Select an answer first
Finished these 5 questions?
Review the revealed explanations, or continue through the curriculum.
Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by ISTQB. “CT-GENAI” is a trademark of its owner, used for identification only.