Top 50 production deployment Interview Questions
The most frequently asked production deployment questions across all roles and companies, ranked by real interview frequency. Updated daily.
Design how an ML system changes when compute, data, and serving budget are cut to 20%.
Amazon
Amazon Web ServicesDesign the path from a prototype AI app to a reliable production system with serving, evaluation, and monitoring.
Google
Lockheed MartinDesign how to evaluate LLM outputs and adjust online and offline behavior from project feedback.
Amazon
Amazon ServicesDesign a stable, efficient LLM training setup and choose between FP16, BF16, and FP32.
AdobeDesign a production ML workflow that reduces overfitting with robust training, validation, and monitoring.
MicrosoftDesign a practical distributed training setup for an MLP, including data parallelism, tensor parallelism, and tradeoffs.
Amazon Web ServicesDesign the checks, controls, and monitoring needed before deploying an LLM system.
MicrosoftExplain a simple MLP training loop and how data parallelism differs from tensor parallelism in distributed training.
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