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Here’s an example of a dialogue between the candidate and interviewer. The main focus is to clarify and frame the problem by asking clarifying questions to the interviewer. Some aspects you could clarify are the key objective of the ML system, user experience, data sources and scalability.
[Interviewer] How do you design a product recommendation on Amazon
[Candidate] When you mean product recommendation, do you mean the recommendation served on homepage, search, or a product like this?
[Interviewer] Good question. Let’s presume that we want the recommendation served on search.
[Candidate]
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