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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. What is a primary compliance concern related to Shadow AI in organizational test environments?
A) Difficulty in aligning project milestones with business outcomes
B) Violation of established data handling and regulatory compliance standards
C) Automated compliance validation during AI tool deployment
D) Failure to update system documentation within the test process
2. A prompt begins: "You are a senior test manager responsible for risk-based test planning on a payments platform." Which component is this?
A) Instruction
B) Constraints
C) Context
D) Role
3. What BEST protects sensitive test data at rest and in transit?
A) Disable TLS and rely on VPN only
B) Enforce role-based access controls
C) Use public file shares with read-only links
D) Rely on obfuscation instead of encryption
4. 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 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.
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 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.
5. What is a hallucination in LLM outputs?
A) A systematic preference learned from data
B) A transient network failure during inference
C) A logical mistake in multi-step deduction
D) Generation of factually incorrect content for the task
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: D |






