PMLE › Scaling Prototypes into ML Models

Scaling Prototypes into ML Models Practice Questions

This domain covers turning a working prototype into a production-grade ML system on Google Cloud: distributed training on Vertex AI, tuning and serving large models, and packaging preprocessing with the model. Questions present concrete scenarios (custom training jobs, Model Garden fine-tuning, Vertex AI Prediction) and ask you to choose configurations and strategies that balance cost, throughput, and correctness.