Production Ml — Google Cloud ML Engineer Practice Questions
Production ML refers to the full lifecycle of deploying, serving, monitoring, and maintaining machine learning models in real-world systems rather than in experimental notebooks. The exam places significant emphasis on Vertex AI Pipelines for reproducible training workflows, Model Registry for versioned model management, and Vertex AI Endpoints for low-latency online prediction and batch prediction. Candidates must understand reliability concerns such as model staleness, serving infrastructure scaling, logging predictions for continuous evaluation, and the organizational processes that keep production models performing over time.
Free questions on production ml
Which approach is used to detect when a deployed model's performance degrades due to changes in input data distribution?
Free question · medium · full answer + explanation
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