A manufacturing company wants to monitor its devices for anomalous behavior.A data scientist has trained an Amazon SageMaker scikit-learn model that classifies a device as normal or anomalous based on its 4-day telemetry.The 4-day telemetry of each device is collected in a separate file and is placed in an Amazon S3 bucket once every hour.The total time to run the model across the telemetry for all devices is 5 minutes.
What is the MOST cost-effective solution for the company to use to run the model across the telemetry for all the devices?
SageMaker Batch Transform
SageMaker Asynchronous Inference
SageMaker Processing
A SageMaker multi-container endpoint
I guess:
SageMaker Batch Transform
As far as I can tell, the answer is:
SageMaker Batch Transform