AWS Certification Exam AI Practitioner (Practice Questions) set5

問題 8 / 65

Which of the following is the most appropriate environmental benefit that can be expected from moving inference to edge devices?

Edge deployment always reduces training time.
Deploying to the edge automatically improves model accuracy.
Moving to the edge increases cloud training costs.
Edge computing eliminates the need for data collection.
Moving processing to the edge can reduce energy consumption associated with network transfers and cloud inference.

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