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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. Which AI approach requires feature engineering and structured data preparation?

A) Deep Learning
B) Generative AI
C) Symbolic AI
D) Classical Machine Learning

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

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

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 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.
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 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.
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. Which of the following is NOT a valid form of LLM-driven test data generation?

A) Creating production database backups
B) Setting boundary values
C) Generating synthetic datasets
D) Creating combinatorial data (e.g., pairwise)

5. Which statement BEST contrasts interaction style and scope?

A) Chatbots enable conversational interactions; LLM apps provide capabilities for defined test tasks.
B) Chatbots enforce fixed workflows; LLM apps support free-form exploration beneficial for software testing
C) Both are identical aside from UI theme.
D) Chatbots require API integration; LLM apps do not.

Solutions: