Training Jobs
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You will learn how a SageMaker training job actually runs: a ModelTrainer points at a container and an S3 input, instances spin up, artifacts land back in S3, and the cluster disappears. Interviewers probe spot training with checkpointing and input modes because that is where cost and wall-clock time live — and increasingly whether you know the v2 Estimator API was removed in SDK v3.
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