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

1. You must use GenAI to perform test analysis on a payments module with finalized requirements: (1) generate test conditions, (2) prioritize by risk, (3) check coverage gaps. Which sequence best applies prompt chaining?

A) Generate prioritized conditions in one shot -> verify coverage
B) Generate conditions -> prioritize by risk -> map to requirements to find gaps
C) Detect requirement defects -> generate conditions -> prioritize
D) Prioritize requirements -> generate conditions -> review defects

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

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

3. Which statement BEST describes vision-language models (VLMs)?

A) VLMs are a subset of multimodal LLMs integrating visual and textual information.
B) VLMs are a superset of multimodal LLMs.
C) VLMs process audio and video but not images.
D) VLMs are unrelated to multimodal LLMs and focus only on UI automation.

4. An LLM prioritizes tests using likelihood X impact but ranks a trivial tooltip change above a payment failure.
What defect does this MOST LIKELY show?

A) Hallucination
B) No defect; this is acceptable
C) Reasoning error in risk calculation logic
D) Dataset bias toward UI features

5. 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 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.
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 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.

Solutions: