Answer-first summary for fast verification
Answer: Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically
The correct answer is B. The key aspect of this problem is to make operational adjustments automatically for 20 million vehicles, most of which are unconnected and thus cannot rely on real-time cloud-based solutions. By capturing all operating data and training machine learning models to identify ideal operations, you can deploy and run these models locally on the vehicles. This approach allows operational adjustments to be made autonomously without the need for constant connectivity to external services or cloud infrastructure, ensuring real-time adjustments can be made in the field.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
TerramEarth manufactures heavy equipment for the mining and agricultural industries, currently operating 20 million vehicles that collect 120 fields of data per second. Approximately 200,000 vehicles are connected to a cellular network, enabling direct data collection, while the rest store data locally. The company aims to increase the operating efficiency of all vehicles, both connected and unconnected, by adjusting operational parameters such as oil pressure based on environmental conditions. Your primary goal is to increase the operating efficiency of these 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
B
Capture all operating data, train machine learning models that identify ideal operations, and run locally to 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