최신 CT-GenAI 무료덤프 - ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0

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.

A. It adapts a pre-trained model to a domain using task-specific data

B. It enhances relevance to organizational terminology and formats

C. It can be applied to smaller SLMs to improve task performance with lower compute

D. It replaces the model's general knowledge entirely and prevents overfitting

A. Automated compliance validation during AI tool deployment

B. Failure to update system documentation within the test process

C. Difficulty in aligning project milestones with business outcomes

D. Violation of established data handling and regulatory compliance standards

A. Prioritize requirements -> generate conditions -> review defects

B. Detect requirement defects -> generate conditions -> prioritize

C. Generate prioritized conditions in one shot -> verify coverage

D. Generate conditions -> prioritize by risk -> map to requirements to find gaps

A. Meta prompting

B. Zero-shot prompting

C. Prompt chaining

D. Few-shot prompting