A trained model must serve low-latency predictions to a live application on demand. Which SageMaker capability provides this?
A.Batch Transform
Batch is for offline bulk scoring, not live requests.
B.A real-time inference endpoint
Correct. Persistent endpoint = on-demand inference.
C.A training job
Training produces the model artifact — it doesn't serve traffic.
D.SageMaker Studio notebooks
Notebooks are a dev environment, not a serving layer.
Why this answer
Real-time endpoints host the model behind a persistent HTTPS endpoint for synchronous, low-latency predictions. Batch Transform runs bulk inference over datasets; training jobs produce models, not serve them.
Correct answer: B · Last reviewed 2026-11-02
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