가이드 연계 퀴즈 · 하드 레벨

AI 및 개인 정보 보호 퀴즈

데이터 흐름, 차등 개인 정보 보호, 멤버십 추론, 간접 재식별, 삭제 및 개인 정보 위험 제어를 테스트합니다.

관련 가이드 경로AI 개인정보 보호
질문 1 의 8

Which statement best distinguishes security from privacy?

모든 질문 미리보기8 질문

퀴즈를 풀면 정답과 설명이 나타납니다.

  1. Which statement best distinguishes security from privacy?
    • Security and privacy are identical concepts
    • Encryption alone establishes consent
    • Secure storage can still be a privacy problem if data are excessive or used unexpectedly
    • Privacy only concerns passwords
  2. In a differential privacy analysis, what does epsilon influence?
    • The number of records in the input
    • The privacy-accuracy tradeoff, with smaller epsilon generally giving stronger privacy
    • The model’s training temperature
    • The encryption key length
  3. A membership-inference attacker asks whether a person’s record was in training. What is being tested?
    • Whether a user can reset a password
    • Whether a record is duplicated in a database
    • Whether a prompt contains a name
    • Whether the model output leaks information about training-set membership
  4. Why can removing names fail to make a dataset anonymous?
    • Other attributes or combinations can re-identify people
    • A name is the only possible identifier
    • Data cannot be linked across tables
    • Removing names always satisfies every privacy goal
  5. Which data practice best follows the guide’s privacy principle?
    • Keep every prompt indefinitely for any future use
    • Collect only information needed for the stated task and set a retention period
    • Copy all source records into each model call
    • Treat local processing as proof of no privacy risk
  6. Why should a team inspect embeddings and indexes after deleting an uploaded document?
    • Deleting a document automatically removes every copy everywhere
    • Embeddings contain no data relationships
    • Derived artifacts may still reveal information from the original data
    • An index is only a user interface
  7. What should a team document about AI data processing?
    • Only the model’s public name
    • The number of support tickets
    • A generic privacy slogan
    • Which providers and internal services handle each data category
  8. Why does an assistant’s unsupported claim that data were deleted not suffice?
    • The team should test deletion and account isolation through the actual application
    • A chatbot response is a deletion receipt
    • Data deletion is never relevant
    • The assistant can inspect all vendor systems