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ISQI CT-GenAI Exam Syllabus Topics:

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

1. 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 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.
B) 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.
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 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.

2. Which statement about fine-tuning for test tasks is INCORRECT?

A) It enhances relevance to organizational terminology and formats
B) It can be applied to smaller SLMs to improve task performance with lower compute
C) It adapts a pre-trained model to a domain using task-specific data
D) It replaces the model's general knowledge entirely and prevents overfitting

3. What is a hallucination in LLM outputs?

A) A transient network failure during inference
B) Generation of factually incorrect content for the task
C) A logical mistake in multi-step deduction
D) A systematic preference learned from data

4. What are the three key phases in adopting GenAI in a test organization?

A) Training; certification; outsourcing
B) Discovery; initiation and usage definition; utilization and iteration
C) Prototype; pilot; decommission
D) Planning; execution; sign-off

5. What defines a prompt pattern in the context of structured GenAI capability building?

A) Maintaining static documentation repositories without real-time prompt standardization processes
B) Using ad hoc prompts without reference to previously proven structures or examples
C) Treating prompts as access credentials or compliance records rather than functional templates
D) Applying a reusable and structured template that guides GenAI models toward consistent outputs

Solutions: