गाइड से जुड़ी प्रश्नोत्तरी · कठिन स्तर
एआई और गोपनीयता प्रश्नोत्तरी
डेटा प्रवाह, विभेदक गोपनीयता, सदस्यता अनुमान, अप्रत्यक्ष पुनः पहचान, विलोपन और गोपनीयता-जोखिम नियंत्रण का परीक्षण करता है।
प्रश्न 1 का 8
Which statement best distinguishes security from privacy?
प्रत्येक प्रश्न का पूर्वावलोकन करें8 प्रश्न
जैसे ही आप प्रश्नोत्तरी लेते हैं उत्तर और स्पष्टीकरण दिखाई देते हैं।
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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