Google Professional Cloud Architect (PR000213) Exam - Topic 1 Question 123 Discussion

Question

Google Professional Cloud Architect (PR000213) Exam - Topic 1 Question 123 Discussion

For this question refer to the TerramEarth case studyOperational 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?

A) Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.

C) Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.

D) 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.

Accepted Answer

B) Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.

Google Professional Cloud Architect (PR000213) Exam - Topic 1 Question 123 Discussion

Google Professional Cloud Architect (PR000213) Exam - Topic 1 Question 123 Discussion

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