Amazon Web Services Applied Scientist Interview Questions
The questions to prepare for a Amazon Web Services Applied Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Amazon Web ServicesExplain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.
Amazon Web ServicesDesign a low-latency ML system for real-time predictions with online features, model serving, and monitoring.
Amazon Web ServicesDesign a cloud ML deployment system for a security product, covering training, serving, updates, and production monitoring.
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Tests your performance engineering skills and tradeoff reasoning for algorithmic improvements.
Amazon Web ServicesTests coding fundamentals and ability to produce correct, efficient implementations.
Amazon Web ServicesTests your diagnostic workflow for identifying data, modeling, and evaluation issues.
Amazon Web ServicesExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
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