
Certified Tester Testing with Generative AI
Domain 5Objective 2
Key Aspects of a Generative AI Strategy in Software Testing CT-GENAI Practice Questions (Page 4)
Part of the Deploying and Integrating Generative AI in Test organizations domain, which makes up ~23% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~6–9 in this domain), expect 1–1 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)
29questions here
6free pages
8concepts
Questions 16–20
- 16
What is a method to evaluate the effectiveness of a generative AI strategy?
Select an answer first - 17
A company is using a generative AI tool to create test data for a new application. The tool sometimes generates data that includes biased or inappropriate content. The team is concerned about the ethical implications. What should the team do to address this risk?
Select an answer first - 18
Which metric is commonly used to evaluate the effectiveness of a generative AI strategy in testing?
Select an answer first - 19
A large enterprise has a mature testing organization with well-defined processes and a strong data governance framework. They are considering adopting generative AI for test data generation. However, their testing team is skeptical and concerned about job security. The budget is available, but the team lacks AI skills. What is the most critical readiness factor to address first?
Select an answer first - 20
A company has implemented a generative AI tool to assist with test case generation. After six months, the team wants to evaluate whether the tool is meeting the strategic goal of improving test coverage. Which evaluation method would be most appropriate?
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