PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #132
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #132: Real Exam Question with Answer & Explanation
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Question
You work for a company that is developing a new video streaming platform. You have been asked to create a recommendation system that will suggest the next video for a user to watch. After a review by an AI Ethics team, you are approved to start development. Each video asset in your company's catalog has useful metadata (e.g., content type, release date, country), but you do not have any historical user event data. How should you build the recommendation system for the first version of the product?
Options
- ALaunch the product without machine learning. Present videos to users alphabetically, and start
- BLaunch the product without machine learning. Use simple heuristics based on content metadata
- CLaunch the product with machine learning. Use a publicly available dataset such as MovieLens to
- DLaunch the product with machine learning. Generate embeddings for each video by training an
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