A test manager evaluates an AI-generated set of test cases for a new feature. The test cases are technically correct but do not cover the integration points with other modules. What does this indicate about the prompt?

The prompt likely specified an incorrect output format.

The prompt likely had too many constraints, limiting the scope of test cases.

The prompt likely assigned the wrong role to the AI.

The prompt likely lacked sufficient context about the system architecture and integration points.

Why is it important to provide relevant context, such as the system under test and its requirements, in a prompt for generating test artifacts?

It limits the AI's response to a specific format

It reduces the need for output format specification

It automatically assigns a role to the AI

It helps the AI generate accurate and focused test artifacts

Why is it important to set explicit constraints in a prompt for generating test cases?

To define the output format of the response

To provide the AI with background information about the system

To ensure the AI generates test cases within the desired scope and parameters

To assign a specific role to the AI

A QA lead is using an AI to generate test cases for a healthcare application. The lead wants the AI to consider regulatory compliance (e.g., HIPAA) and avoid bias against certain patient groups. Which prompt best achieves this?

Generate test cases for the healthcare application. Ensure they are compliant and unbiased.

Act as a QA specialist. Generate test cases for the healthcare application, including privacy scenarios.

Act as a healthcare QA specialist. The application handles patient data and must comply with HIPAA. Generate test cases that include privacy and security scenarios. Ensure test cases do not assume any specific patient demographics. Provide the output as a table.

Generate test cases for the healthcare application.

Certified Tester Testing with Generative AI

Domain 2Objective 1

Structure of Prompts for Generative AI in Software Testing CT-GENAI Practice Questions (Page 2)

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

26questions here

6free pages

10concepts

Questions 6–10

6application · medium
A test manager evaluates an AI-generated set of test cases for a new feature. The test cases are technically correct but do not cover the integration points with other modules. What does this indicate about the prompt?
Select an answer first
7foundation · easy
Why is it important to provide relevant context, such as the system under test and its requirements, in a prompt for generating test artifacts?
Select an answer first
8foundation · easy
Why is it important to set explicit constraints in a prompt for generating test cases?
Select an answer first
9foundation · easy
Which component of a prompt would include 'Limit the test cases to the login and registration modules only'?
Select an answer first
10expert · hard
A QA lead is using an AI to generate test cases for a healthcare application. The lead wants the AI to consider regulatory compliance (e.g., HIPAA) and avoid bias against certain patient groups. Which prompt best achieves this?
Select an answer first

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