In ECS Solution Design, what are key factors in determining the hardware requirements for a large- scale IoT data processing use case?

Question

Options

• AEnergy efficiency of the compute nodes
• BAesthetic design of the server racks
• CNetwork throughput and latency
• DData storage and processing capabilities

• A
  84% (59)
• B
  10% (7)
• D
  6% (4)

Explanation

For large-scale IoT deployments, energy efficiency (A) is a critical hardware consideration because thousands of compute nodes running continuously create significant power and cooling costs - energy-inefficient hardware becomes operationally unsustainable at scale. Network throughput and latency (C) is equally essential since IoT systems generate continuous, high-volume data streams that require low-latency, high-bandwidth infrastructure to avoid bottlenecks and ensure real-time or near-real-time processing.

B (aesthetic design) is a straightforward distractor - rack appearance has zero bearing on system performance or capacity planning. D (data storage and processing capabilities) is the trickier distractor: while important to design, it describes software/capacity requirements rather than the hardware selection criteria that drive procurement decisions; it's an output of the design process, not a driver of hardware spec.

Memory tip: Think "IoT = Internet of Things flowing data constantly" - your hardware must handle the flow (network throughput/latency) and the cost of running that flow at scale (energy efficiency). If it can't move data fast or cheaply, the system fails regardless of how much storage you provision.

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