최신 AI Testing CT-GenAI 무료샘플문제:
1. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?
A) Using GenAI without regulatory compliance can lead to legal exposure
B) GenAI outputs can accidentally reveal sensitive information present in inputs
C) Some GenAI tools may store/process data without explicit consent
D) Strict GDPR compliance eliminates all privacy risk
2. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?
A) Reliance on predefined templates to generate short, factual answers
B) Ability to respond to prompts without explicit user instructions
C) Ability to trigger automated actions beyond conversation
D) Use of a conversational tone and improved response personalization
3. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement
A) iv -> i -> iii -> ii
B) i -> iv -> iii -> ii
C) iii -> iv -> i -> ii
D) iv -> iii -> i -> ii
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) Dataset bias toward UI features
D) Reasoning error in risk calculation logic
5. 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
질문과 대답:
| 질문 # 1 정답: D | 질문 # 2 정답: C | 질문 # 3 정답: A | 질문 # 4 정답: D | 질문 # 5 정답: D |














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