공부한 내용이 실제 점수로 이어지는지 궁금하신가요? KoreaDumps의 CT-GenAI 테스트 엔진은 ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 시험 환경을 재현하고 현재 실력으로 어느 정도의 점수를 받을 수 있는지도 확인해 줍니다.

ISQI CT-GenAI 시험 개요:

ISQI CT-GenAI 시험 요강 주제:

CT-GenAI 시험 준비, 자주 묻는 질문으로 정리했습니다

최신 AI Testing CT-GenAI 무료샘플문제

문제 #1

A prompt section states: "Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112-T-150; recent defect ID BUG-431." Which component is this?

A. Input data
B. Output format
C. Constraints
D. Instruction

문제 #2

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 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.
C. 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.
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.

문제 #3

You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?

A. Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
B. Specify that the role is a test analyst with expertise in predictive analytics and risk management.
C. Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
D. Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.

문제 #4

What are the three key phases in adopting GenAI in a test organization?

A. Prototype; pilot; decommission
B. Training; certification; outsourcing
C. Planning; execution; sign-off
D. Discovery; initiation and usage definition; utilization and iteration

문제 #5

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

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

질문과 대답: