MLS-C01 · Question #122
A manufacturer is operating a large number of factories with a complex supply chain relationship where unexpected downtime of a machine can cause production to stop at several factories. A data scient
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #122. The question stem and answer options stay visible for context.
Question
A manufacturer is operating a large number of factories with a complex supply chain relationship where unexpected downtime of a machine can cause production to stop at several factories. A data scientist wants to analyze sensor data from the factories to identify equipment in need of preemptive maintenance and then dispatch a service team to prevent unplanned downtime. The sensor readings from a single machine can include up to 200 data points including temperatures, voltages, vibrations, RPMs, and pressure readings. To collect this sensor data, the manufacturer deployed Wi-Fi and LANs across the factories. Even though many factory locations do not have reliable or high-speed internet connectivity, the manufacturer would like to maintain near-real-time inference capabilities. Which deployment architecture for the model will address these business requirements?
Options
- ADeploy the model in Amazon SageMaker.
- BDeploy the model on AWS IoT Greengrass in each factory.
- CDeploy the model to an Amazon SageMaker batch transformation job.
- DDeploy the model in Amazon SageMaker and use an IoT rule to write data to an Amazon
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.