A team is about to start a pilot with a generative AI tool for test data generation. They have limited time and want to maximize learning. Which type of test data should they use for the pilot?

Synthetic data that does not resemble real production data at all.

The full production dataset, including sensitive customer information.

A small, representative sample of production-like data that is non-sensitive.

A random sample of data from the most complex system in the organization.

A test manager is leading the adoption of generative AI. The pilot phase was successful, but the organization has limited budget and cannot afford to scale to all teams at once. The manager also wants to maintain momentum and avoid losing the skills learned during the pilot. Which approach best balances these constraints?

Let each team independently decide whether to adopt AI, without central coordination.

Scale to a few teams that have the highest need and establish a center of excellence to share knowledge.

Pause all AI adoption until the next budget cycle.

Scale to all teams immediately, even if it means exceeding the budget.

A test organization has been using generative AI for test case generation for several months. They now want to ensure the AI-generated tests remain relevant and that the AI usage is aligned with organizational policies. Which practice is most aligned with the optimization and governance phase?

Establish a review board to monitor AI outputs, usage metrics, and compliance with guidelines.

Allow all testers to use the AI tool without any oversight to encourage innovation.

Stop using the AI tool because it is no longer novel.

Focus solely on reducing costs, even if it means lower test quality.

A test organization is scaling generative AI from one team to several. They want to ensure that AI-generated test artifacts are reviewed consistently. What is the best way to achieve this?

Assign a single person to review all artifacts from all teams.

Let each team define its own review process independently.

Automatically accept all AI-generated artifacts without review.

Create a shared review checklist and require peer review for all AI-generated artifacts.

Which activity is most characteristic of the 'Exploration and Pilot' phase in adopting generative AI for testing?

Running a small-scale trial of a generative AI tool on a low-risk test data generation task

Rolling out the generative AI tool to all test teams in the organization

Replacing all manual test cases with AI-generated test scripts across the suite

Defining organization-wide policies for the ethical use of generative AI in testing

Certified Tester Testing with Generative AI

Domain 5Objective 4

Phases When Adopting Generative AI in Software Testing CT-GENAI Practice Questions (Page 1)

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 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

5concepts

Questions 1–5

1application · medium
A team is about to start a pilot with a generative AI tool for test data generation. They have limited time and want to maximize learning. Which type of test data should they use for the pilot?
Select an answer first
2expert · hard
A test manager is leading the adoption of generative AI. The pilot phase was successful, but the organization has limited budget and cannot afford to scale to all teams at once. The manager also wants to maintain momentum and avoid losing the skills learned during the pilot. Which approach best balances these constraints?
Select an answer first
3application · medium
A test organization has been using generative AI for test case generation for several months. They now want to ensure the AI-generated tests remain relevant and that the AI usage is aligned with organizational policies. Which practice is most aligned with the optimization and governance phase?
Select an answer first
4application · medium
A test organization is scaling generative AI from one team to several. They want to ensure that AI-generated test artifacts are reviewed consistently. What is the best way to achieve this?
Select an answer first
5foundation · easy
Which activity is most characteristic of the 'Exploration and Pilot' phase in adopting generative AI for testing?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to CT-GENAI

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-GENAI” is a trademark of its owner, used for identification only.