When using generative AI to create test cases from a user story, what should the tester do after receiving the AI-generated test cases?

Immediately add them to the regression suite without review

Review and validate the test cases for correctness and completeness

Discard them because AI-generated test cases are never useful

Automatically mark them as passed without execution

What is a common way generative AI assists in test implementation?

Defining the project's acceptance criteria

Generating test scripts or automating test code from test cases

Deploying the application to production after tests pass

Manually reviewing every line of code for syntax errors

What is a recommended way to integrate generative AI into an existing test design workflow?

Use AI as a collaborative tool that supports testers, not as a replacement for them

Use AI only for test execution, not for design

Replace all manual testing activities with AI-generated tests immediately

Avoid any human review of AI outputs to save time

A team uses a generative AI tool to create test cases from a set of user stories. The AI generates a large number of test cases, but the team has limited time to execute them all. They need to prioritize which test cases to run first. What is the best prioritization strategy?

Run the test cases that are easiest to execute first

Prioritize test cases that cover the most critical user stories and high-risk scenarios

Run the test cases in the order they were generated by the AI

Run all test cases in parallel to save time

A developer is using a generative AI assistant to implement test code for a new microservice. The AI suggests a test script that uses a mocking framework. What is the main benefit of using mocks in this context?

Mocks allow testing the microservice in isolation from its dependencies

Mocks ensure the test script runs faster than real integrations

Mocks automatically generate test cases

Mocks eliminate the need for test data

Certified Tester Testing with Generative AI

Domain 2Objective 5

Test Design and Test Implementation with Generative AI CT-GENAI Practice Questions (Page 3)

Part of the Prompt Engineering for Effective Software Testing domain, which makes up ~30% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~8–12 in this domain), expect 1–1 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

8concepts

Questions 11–15

11foundation · easy
When using generative AI to create test cases from a user story, what should the tester do after receiving the AI-generated test cases?
Select an answer first
12foundation · easy
What is a common way generative AI assists in test implementation?
Select an answer first
13foundation · easy
What is a recommended way to integrate generative AI into an existing test design workflow?
Select an answer first
14expert · hard
A team uses a generative AI tool to create test cases from a set of user stories. The AI generates a large number of test cases, but the team has limited time to execute them all. They need to prioritize which test cases to run first. What is the best prioritization strategy?
Select an answer first
15application · medium
A developer is using a generative AI assistant to implement test code for a new microservice. The AI suggests a test script that uses a mocking framework. What is the main benefit of using mocks in this context?
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.