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

1. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?

A) Use of a conversational tone and improved response personalization
B) Reliance on predefined templates to generate short, factual answers
C) Ability to trigger automated actions beyond conversation
D) Ability to respond to prompts without explicit user instructions

2. Which setting can reduce variability by narrowing the sampling distribution during inference?

A) Increasing learning rate
B) Increasing temperature
C) Lowering temperature
D) Using a larger context window

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. | 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.
D) 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.

4. Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?

A) Writing low-level device drivers
B) Mastering prompt engineering
C) Configuring network routers
D) Designing custom CPU instructions

5. What is a key data-related aspect when defining a GenAI strategy for testing?

A) Prioritize accurate and relevant input data secured through defined quality procedures
B) Use only auto-generated synthetic data to avoid dependency on enterprise repositories
C) Aggregate data from all available organizational repositories without filtration
D) Neglect legacy data sources as they provide limited immediate relevance to testing tasks

Solutions: