Near-duplicate media detection
Design a near-duplicate detection system for a media platform ingesting 3M images/videos a day that must flag content that is a re-upload or trivial edit (crop, re-encode, watermark, slight color shift) of existing content — for copyright/dedup, not exact-hash matching, which a single re-encode defeats. Walk through the embedding/fingerprinting approach, how you search 2B existing fingerprints fast enough to check each upload at ingest, and how you set the match threshold without drowning in false positives.
What a strong answer looks like
Clarify scale and constraints first. Propose a clean component breakdown, then go deep on the hard parts (data model, bottlenecks, consistency, failure modes) and name the trade-offs you are making.
Clarify4:30 left
Estimate4:30 planned
Design13:30 planned
Deep dive10:30 planned
Failure7:00 planned
Which questions mattered is sealed until you submit. Telling you now would just be handing over the edge cases.
Run or narrate your approach, then ask the coach.