Certified Tester Testing with Generative AI
Domain 2Objective 8
Metrics for Evaluating the Results of Generative AI on Test Tasks CT-GENAI Practice Questions (Page 7)
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 35 practice questions to prepare you well beyond it. (estimate)
35questions here
7free pages
9concepts
Questions 31–35
- 31
Which metric is most relevant when evaluating the quality of generated test data for boundary value analysis?
Select an answer first - 32
What does a usefulness metric for a generated defect report primarily assess?
Select an answer first - 33
A team uses a generative AI model to generate test cases for a large enterprise application. They need to evaluate the computational cost of the generation process, including GPU usage and response time. Which metric is most appropriate for this evaluation?
Select an answer first - 34
Which metric directly measures whether a generated test case produces the expected outcome when executed against the specification?
Select an answer first - 35
A team uses generative AI to create test cases for a mobile app. They want to ensure the tests cover all the critical user journeys and edge cases, including offline mode and low battery. Which metric should they use to evaluate the completeness of the generated test suite?
Select an answer first
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