PRODUCTION SCENARIO
A utility company scores 12 million smart-meter records once each night to flag likely billing errors. No application calls the model during the day. The company wants the most cost-effective way to run this workload.
Which Amazon SageMaker AI option will meet these requirements?
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Show answer and explanation
Answer: Run a batch transform job over the dataset in Amazon S3 each night.
Batch transform gets inferences from large datasets when no persistent endpoint is needed. SageMaker AI starts compute instances when the job begins, reads the input from Amazon S3, writes the output files back to S3, and releases the instances, so nothing is billed between nightly runs.