
Certified Tester Testing with Generative AI
Domain 1Objective 5
AI Chatbots and LLM-Powered Testing Applications for Software Testing CT-GENAI Practice Questions (Page 2)
Part of the Introduction to Generative AI for Software Testing domain, which makes up ~12% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–5 in this domain), expect 1–1 from this objective — we provide 23 practice questions to prepare you well beyond it. (estimate)
23questions here
5free pages
4concepts
Questions 6–10
- 6
A team uses an LLM to generate unit test cases for a Python module. The LLM produces tests that pass, but the team discovers the tests do not actually verify the core logic; they only check that the function runs without errors. What is this an example of?
Select an answer first - 7
A QA team uses an AI chatbot to help generate test data for a login feature. The chatbot suggests using a list of common passwords. What is the primary risk of using this data for security testing?
Select an answer first - 8
What is a primary benefit of using an AI chatbot in a software testing context?
Select an answer first - 9
What is a known limitation of using AI chatbots in software testing?
Select an answer first - 10
In which of the following ways can an AI chatbot assist with defect reporting?
Select an answer first
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