A startup has a simple API endpoint that returns user details. They need a quick set of smoke tests to verify the endpoint responds correctly. They have no existing test examples and want to rely on the AI's general knowledge. Which prompting technique is most suitable?

Few-shot prompting with examples from a different API

Role prompting assigning the model the role of 'API tester'

Zero-shot prompting with a clear description of the endpoint and expected behavior

Chain-of-thought prompting asking for detailed reasoning

What is the purpose of role prompting in test case generation?

To reduce the number of test cases generated

To shape the style and content of the output based on the assigned role

To force the model to reason step-by-step

To provide examples of test cases

A security team wants the AI to generate test cases that simulate both a malicious attacker and a curious but non-technical user. They need two different sets of test cases with different perspectives. They also want the test cases to be relevant to their specific application. Which approach is most effective?

Use few-shot prompting with examples from a different application

Use role prompting with two separate prompts, one for each role, and include application context in both

Use chain-of-thought prompting to reason about both perspectives

Use zero-shot prompting asking for both perspectives in one prompt

A team is generating test cases for a legacy system with outdated documentation. The requirements are incomplete, but the team has a few historical test cases that reflect the actual behavior. They want the AI to generate new test cases that are consistent with the actual behavior. Which approach is most effective?

Use role prompting to assign the model the role of 'legacy system expert'

Use zero-shot prompting with the incomplete documentation only

Use chain-of-thought prompting to reason about the documentation

Use few-shot prompting with the historical test cases and include the incomplete documentation as context

What is a primary advantage of chain-of-thought prompting for generating test scenarios?

It makes the test scenarios more traceable and reliable

It eliminates the need for test data

It ensures the model uses only pre-trained knowledge

It reduces the number of test cases generated

Certified Tester Testing with Generative AI

Domain 2Objective 2

Core Prompting Techniques for Software Testing 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 24 practice questions to prepare you well beyond it. (estimate)

24questions here

5free pages

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Questions 11–15

11application · medium
A startup has a simple API endpoint that returns user details. They need a quick set of smoke tests to verify the endpoint responds correctly. They have no existing test examples and want to rely on the AI's general knowledge. Which prompting technique is most suitable?
Select an answer first
12foundation · easy
What is the purpose of role prompting in test case generation?
Select an answer first
13expert · hard
A security team wants the AI to generate test cases that simulate both a malicious attacker and a curious but non-technical user. They need two different sets of test cases with different perspectives. They also want the test cases to be relevant to their specific application. Which approach is most effective?
Select an answer first
14expert · hard
A team is generating test cases for a legacy system with outdated documentation. The requirements are incomplete, but the team has a few historical test cases that reflect the actual behavior. They want the AI to generate new test cases that are consistent with the actual behavior. Which approach is most effective?
Select an answer first
15foundation · easy
What is a primary advantage of chain-of-thought prompting for generating test scenarios?
Select an answer first

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Core Prompting Techniques for Software Testing CT-GENAI Practice Questions (Page 3)

Questions 11–15

A startup has a simple API endpoint that returns user details. They need a quick set of smoke tests to verify the endpoint responds correctly. They have no existing test examples and want to rely on the AI's general knowledge. Which prompting technique is most suitable?

What is the purpose of role prompting in test case generation?

What is a primary advantage of chain-of-thought prompting for generating test scenarios?

Keep studying — Prompt Engineering for Effective Software Testing