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Multiple Choice

What best describes fog computing?

Fog computing brings compute and storage closer to where data is created, using edge devices and local gateways to pre-process data and hold it briefly before sending anything onward. This setup reduces latency and saves bandwidth by handling immediate processing near the source, so decisions can be made quickly without always involving the central cloud. That makes the description of fog computing as an architecture that uses edge devices for data pre-processing and storage the most accurate. It’s not a cloud-only model, it isn’t limited to memory storage, and it isn’t a database.

Fog computing brings compute and storage closer to where data is created, using edge devices and local gateways to pre-process data and hold it briefly before sending anything onward. This setup reduces latency and saves bandwidth by handling immediate processing near the source, so decisions can be made quickly without always involving the central cloud. That makes the description of fog computing as an architecture that uses edge devices for data pre-processing and storage the most accurate. It’s not a cloud-only model, it isn’t limited to memory storage, and it isn’t a database.