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Difficulty: MediumCloud Characteristics and Features (Elasticity, On-Demand, Resource Pooling)

A weather monitoring organization hosts an automated telemetry processing system in a public cloud platform. During unpredicted atmospheric anomalies, data transmissions from thousands of field sensors spike tenfold within seconds. The underlying cloud environment automatically expands virtual computing instances to process the incoming burst load and subsequently releases those resources back to the provider once traffic subsides to baseline levels, all without administrator interaction. Which cloud characteristic is directly demonstrated in this deployment?

  1. Rapid elasticityAnswer
  2. B
    On-demand self-service
  3. C
    Resource pooling
  4. D
    Measured service

Answer

Rapid elasticity
Rapid elasticity is the cloud computing characteristic that enables systems to automatically provision and release computing resources dynamically in response to real-time workload changes. In this scenario, the immediate expansion during data spikes and subsequent contracting when traffic normalizes demonstrates rapid elasticity.

Step-by-Step Solution

1
Analyze the operational requirements stated in the scenario
Identified that compute capacity automatically increases during unexpected peak loads and automatically decreases when demand drops without human intervention.
Determining whether resource adjustment is automated and dynamic isolates the core feature in question.
2
Compare the identified operational capability against essential cloud characteristics
Rapid elasticity is defined as the capability to seamlessly expand (scale out) and contract (scale in) infrastructure resources dynamically matching demand.
Differentiating automatic runtime scaling from manual self-service provisioning or background multi-tenant resource assignment ensures accurate classification.

Key Concept

Cloud Characteristics: Rapid Elasticity vs. On-Demand Self-Service vs. Resource Pooling
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Topics

Cloud Characteristics and Features (Elasticity, On-Demand, Resource Pooling)

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