A team is testing a system where the input space is huge and they need to generate test cases that cover many different combinations. Which AI technique is best suited?

Model-based generation from a simple state machine

Random generation of inputs without any optimization

Machine learning classification to predict which inputs are valid

Search-based generation using a genetic algorithm to explore the input space

Which practice is important when integrating AI-generated test cases into a continuous integration (CI) pipeline?

Automatically running the generated tests as part of the build process

Running the generated tests only once before release

Manually reviewing every generated test case before it is added to the suite

Storing generated tests in a separate repository that is not version controlled

A team needs to generate test data for a system with strict privacy requirements. They have access to real user data but cannot use it directly. Which approach is best?

Use a search-based algorithm to generate data that maximizes code coverage

Use a model-based approach to generate data from a state machine

Use real data but anonymize it by removing names and emails

Use a GAN to generate synthetic data that preserves statistical properties without exposing personal information

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Domain 11Objective 3

Using AI for Test Case Generation 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 24 practice questions to prepare you well beyond it. (estimate)

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5concepts

Questions 1–5

1application · medium
A team is testing a system where the input space is huge and they need to generate test cases that cover many different combinations. Which AI technique is best suited?
Select an answer first
2foundation · easy
Which AI algorithm is commonly used to optimize test suites by selecting a subset of test cases that still achieves the same coverage?
Select an answer first
3expert · hard
A team has a large test suite that is expensive to run. They want to use AI to reduce the suite while maintaining high fault detection. Which metric should they use to guide the reduction?
Select an answer first
4foundation · easy
Which practice is important when integrating AI-generated test cases into a continuous integration (CI) pipeline?
Select an answer first
5expert · hard
A team needs to generate test data for a system with strict privacy requirements. They have access to real user data but cannot use it directly. Which approach is best?
Select an answer first

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Using AI for Test Case Generation CT-AI Practice Questions (Page 1)

Questions 1–5

A team is testing a system where the input space is huge and they need to generate test cases that cover many different combinations. Which AI technique is best suited?

Which AI algorithm is commonly used to optimize test suites by selecting a subset of test cases that still achieves the same coverage?

A team has a large test suite that is expensive to run. They want to use AI to reduce the suite while maintaining high fault detection. Which metric should they use to guide the reduction?

Which practice is important when integrating AI-generated test cases into a continuous integration (CI) pipeline?

A team needs to generate test data for a system with strict privacy requirements. They have access to real user data but cannot use it directly. Which approach is best?

Keep studying — Domain 11: Using AI for Testing