AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 220

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?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: SageMaker Batch Transform AWS Batch schedules and runs batch computing jobs at any scale without managing clusters. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option delivers the requirement at the lowest cost.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 220