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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

1. A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?

A) A/B testing of prompts
B) Integrating user feedback
C) Output analysis
D) Iterative prompt modification

2. What BEST protects sensitive test data at rest and in transit?

A) Rely on obfuscation instead of encryption
B) Enforce role-based access controls
C) Disable TLS and rely on VPN only
D) Use public file shares with read-only links

3. Consider applying the meta-prompting technique to generate automated test scripts for API testing. You need to test a REST API endpoint that processes user registration with validation rules. Which one of the following prompts is BEST suited to this task?

A) Role: Act as an automation tester. | Context: You are validating an API endpoint. | Instruction: Generate Python test scripts that send POST requests and validate responses. | Input Data: User credentials. | Constraints: Include basic scenarios with asserts. | Output Format: Provide organized scripts.
B) Role: Act as a software engineer. | Context: You are testing registration logic. | Instruction: Create Python scripts to verify endpoint behavior. | Input Data: POST /api/register with test users. | Constraints: Add checks for status codes. | Output Format: Deliver functional scripts.
C) Role: Act as a test automation engineer with API testing experience. | Context: You are verifying user registration that enforces field and format validation. | Instruction: Generate pytest scripts using requests for both positive (valid) and negative (invalid email, weak password, missing fields) cases. | Input Data: POST /api/register with validation rules for email and password length. | Constraints:
Include fixtures, clear assertions, and naming consistent with pytest. | Output Format: Return complete Python test files.
D) Role: Act as a test automation engineer. | Context: You are creating tests for a registration endpoint. | Instruction: Generate Python test scripts using pytest covering both valid and invalid inputs. | Input Data: POST /api/register with email and password. | Constraints: Follow pytest structure. | Output Format: Provide scripts.

4. How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?

A) Replacing existing test coverage validation with automated summary reports generated by AI
B) Transitioning from manual execution to complete automation with no human oversight
C) Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
D) Shifting from test execution toward reviewing, refining, and validating AI-generated testware

5. Which option BEST differentiates the three prompting techniques?

A) Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
B) Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization
C) Few-shot = no examples; Chaining = single prompt; Meta = disable iteration
D) Chaining = give examples; Few-shot = break tasks; Meta = manual edits only

Solutions: