Monitor if the distribution of incoming production data changes compared to the training data.
The "Machine Learning System Design Interview" is currently the for ML interview prep. It successfully translates the "grokking" style of backend system design into the ML domain. If you have an upcoming ML system design round, memorizing the 6-step framework alone significantly increases your chances of structuring a passing answer.
Machine Learning System Design Interview (2022), co-authored by machine learning system design interview pdf alex xu
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Identify data sources. Address data sparsity, missing values, and high cardinality. Monitor if the distribution of incoming production data
Track online metrics (like click-through rate dropping over time).
: Covering YouTube video recommendations, ad click prediction, and event suggestions. Harmful Content Detection If you have an upcoming ML system design
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