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700-801 · Question #28

Which option describes the idea behind the fog data in motion?

The correct answer is C. Data is continuously sent to the edge to be analyzed for relevant information. Fog computing places processing power at the edge of the network - close to the devices generating data - rather than in the distant cloud. "Data in motion" in this context means data is continuously streamed to these edge (fog) nodes where it is analyzed locally for relevant…

Understanding the Internet of Things (IoT)

Question

Which option describes the idea behind the fog data in motion?

Options

  • AData gets caught in the fog and is unable to reach the cloud.
  • BData is constantly being sent back and forth between the cloud and devices.
  • CData is continuously sent to the edge to be analyzed for relevant information.
  • DData goes through continuous analysis to provide key insights.

How the community answered

(38 responses)
  • A
    3% (1)
  • B
    5% (2)
  • C
    89% (34)
  • D
    3% (1)

Explanation

Fog computing places processing power at the edge of the network - close to the devices generating data - rather than in the distant cloud. "Data in motion" in this context means data is continuously streamed to these edge (fog) nodes where it is analyzed locally for relevant insights in near real-time, making option C correct.

Why the distractors fail:

  • A is a misconception - fog doesn't trap data; it processes it locally and can still forward relevant data to the cloud.
  • B describes general cloud communication or bidirectional syncing, not the defining characteristic of fog architecture.
  • D is too vague - continuous analysis happens in many architectures; it misses the critical detail that analysis occurs at the edge, which is what makes fog computing distinct.

Memory tip: Picture fog hugging the ground (edge devices), not floating high (cloud). "Fog data in motion" = data moves down to the ground level (edge) for immediate local analysis, rather than traveling all the way up to the cloud.

Topics

#Fog Computing#Edge Analytics#IoT Data Flow#Cloud-Edge Architecture

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