A company needs low-latency processing for IoT devices located in factories. Which cloud concept fits this need by moving computation closer to the devices?

The correct answer is C. Edge computing. Edge computing brings compute and storage resources close to the data source (like factory IoT devices) to reduce latency. Fog is similar but often refers to a distributed network layer between the core cloud and edge. Multitenancy and data lakes aren't relevant to latency reduct

Submitted by carter_n· Apr 18, 2026Cloud Concepts, Architecture and Design

Question

Options

AMultitenancy
BFog computing
CEdge computing
DData lake

How the community answered

(24 responses)

A
4% (1)
B
4% (1)
C
92% (22)

Explanation

Edge computing brings compute and storage resources close to the data source (like factory IoT devices) to reduce latency. Fog is similar but often refers to a distributed network layer between the core cloud and edge. Multitenancy and data lakes aren't relevant to latency reduction.

Topics

#Edge computing#IoT#Low latency#Cloud architecture

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