Topic 8 Question 11
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field. How can you accomplish this goal?
Have you engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically
Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically
Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically
Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically
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コメント(17)
B is correct. only 200k vehicle's are connected so need to run updates locally
👍 34JoeShmoe2019/11/15B)=> unconnected vehicles in the field.
👍 8dabrat2019/11/18B. Train model in the cloud and deploy model to the edge for local prediction. This is typical in IoT.
👍 4Danny20212021/11/27
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