MLS-C01 · Question #248
MLS-C01 Question #248: Real Exam Question with Answer & Explanation
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Question
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?
Options
- ASageMaker Batch Transform
- BSageMaker Asynchronous Inference
- CSageMaker Processing
- DA SageMaker multi-container endpoint
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