Question

TQ Cloud Question 14 of 15 What would be an ideal scenario for using edge computing solutions? O a backup data set posted to a public Cloud server once a month O a school computer lab with workstations connected to a local network O a landscaping business that uses few or no digital devices thing O a restaurant kitchen using real-time data to fulfill orders efficiently O I don't know this yet. Submit answer Type here to search O 0 31°C Haze 40​

Answer 1

A restaurant kitchen using real-time data to fulfill orders efficiently.

a school computer lab with workstations connected to a local network

Explanation:

The main objective is to push computation to the edge of the network away from data centers which already has enough data  that is exploiting the capabilities of smart objects, mobile phones and network gateways to provide services and processing on behalf of the cloud.

In short we can say that it is trying to reduce the imbalance on cloud.  

Edge computing is more effective city traffic management.  With edge computing, there is no need to transport large volumes of traffic data to the centralized cloud.

By processing data comes closer to the source and prioritizing traffic, edge computing reduces the amount of data flowing from source to destination.

Answer 2

Answer:

The ideal scenario for using edge computing solutions are:

a school computer lab with workstations connected to a local network and a restaurant kitchen using real-time data to fulfill orders efficiently

Explanation:

As we know,

• Edge computing technology means bringing our data and operating from our remote local servers.
• This technology removes burdens from the cloud computing and deals with handling things in local level.
• So, a option where we deal with passing information at local level and which is interlinked at a local level will be the answer.

Hence,

The ideal scenario for using edge computing solutions are:

a school computer lab with workstations connected to a local network and a restaurant kitchen using real-time data to fulfill orders efficiently.

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