System design interview question
"Design a review aggregator like Goodreads or Rotten Tomatoes. Users rate and review books or films, and each title shows an aggregate score, a rating distribution, and a list of reviews. 100 million users, 10 million titles."
This is an entry-level warm-up, and the depth is in the statistics rather than the infrastructure. The interesting questions are: how do you compute an aggregate that is not trivially gamed or misleading by small samples, how do you handle a rating being changed, and how do you rank which reviews to show. A candidate who produces AVG(rating) and stops has missed everything worth discussing.
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