
Certified Tester AI Testing
Domain 11Objective 4
Using AI for the Optimization of Regression Test Suites CT-AI Practice Questions (Page 1)
Part of the Domain 11: Using AI for Testing domain, which makes up ~11% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–4 in this domain), expect 1–1 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)
26questions here
6free pages
5concepts
Questions 1–5
- 1
Which AI technique groups similar test cases together so that a representative subset can be selected for regression testing?
Select an answer first - 2
A team has a regression suite of 1,500 tests. They want to select a subset of tests to run for each code change, using an AI model that predicts which tests are most likely to detect faults. They have historical data on test failures and code changes. What is the primary input to the AI model for this task?
Select an answer first - 3
A company has a regression suite that has grown to 10,000 test cases, and nightly runs take over 10 hours. They are considering using AI to optimize the suite. What is the primary benefit they can expect from AI-based test suite optimization?
Select an answer first - 4
Which AI-based approach orders test cases so that those with the highest likelihood of finding defects run first?
Select an answer first - 5
Which of the following is an example of an AI-driven prioritization strategy for regression tests?
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-AI” is a trademark of its owner, used for identification only.