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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 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 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 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.

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

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

3. What is a primary compliance concern related to Shadow AI in organizational test environments?

A) Automated compliance validation during AI tool deployment
B) Difficulty in aligning project milestones with business outcomes
C) Failure to update system documentation within the test process
D) Violation of established data handling and regulatory compliance standards

4. Which statement BEST differentiates an LLM-powered test infrastructure from a traditional chatbot system used in testing?

A) It produces scripted conversational responses similar to traditional bots
B) It focuses primarily on visual dashboards and user navigation features
C) It provides fixed responses from predefined rule sets and scripts
D) It dynamically generates test insights using contextual information

5. Which technique MOST directly reduces hallucinations by grounding the model in project realities?

A) Randomize prompts each run
B) Rely on generic examples only
C) Use longer temperature settings
D) Provide detailed context

Solutions: