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Zorluk: OrtaCloud Characteristics and Features (Elasticity, On-Demand, Resource Pooling)

An IT systems architect for a municipal transit agency is mapping operational workload requirements to essential cloud computing features. Match each transit infrastructure operational scenario on the left with its corresponding cloud computing characteristic on the right.

  • Transit API server instances automatically expand compute capacity during unexpected severe weather delays and immediately scale down when passenger queries subside.Rapid Elasticity
  • Route analysts can independently spin up temporary database instances using an automated administrative dashboard without submitting support tickets to the cloud vendor.On-Demand Self-Service
  • Multiple city departments dynamically share physical host servers while multi-tenant software boundary controls keep department data logically isolated.Resource Pooling
  • The agency's monthly cloud invoice accurately details and charges for the precise amount of processing time, network bandwidth, and storage consumed by GPS tracking units.Measured Service

Cevap

The operational scenarios correctly pair with the following cloud characteristics: automatically expanding and contracting server capacity pairs with Rapid Elasticity; provisioning instances independently via an automated portal pairs with On-Demand Self-Service; dynamically sharing physical host infrastructure across multi-tenant departments pairs with Resource Pooling; and billing based on tracked resource consumption pairs with Measured Service.
Each scenario maps directly to a standard NIST essential cloud characteristic: dynamic workload-driven auto-scaling maps to Rapid Elasticity; autonomous user provisioning via self-service interfaces maps to On-Demand Self-Service; shared physical compute infrastructure serving multiple isolated users maps to Resource Pooling; and granular resource metering for billing maps to Measured Service.

Adım Adım Çözüm

1
Analyze the automatic scaling scenario during weather events.
Dynamic expansion and contraction to meet fluctuating load defines Rapid Elasticity.
Rapid elasticity ensures provisioning closely matches real-time workload demand without manual administrative intervention.
2
Evaluate the route analysts' ability to provision instances without vendor intervention.
Self-service provisioning via automated portals without human vendor interaction defines On-Demand Self-Service.
On-demand self-service empowers users to provision infrastructure on an as-needed basis directly.
3
Examine the multi-tenant departmental sharing of physical host hardware.
Combining physical host resources to serve multiple isolated tenants defines Resource Pooling.
Resource pooling abstracts physical hardware location and dynamically assigns pooled virtual assets.
4
Review the usage tracking and granular invoicing scenario.
Monitoring and billing based on actual metrics like storage, bandwidth, and processing cycles defines Measured Service.
Measured service provides transparency by charging exclusively for consumed computing metrics.

Anahtar Kavram

Essential NIST Cloud Computing Characteristics (Rapid Elasticity, On-Demand Self-Service, Resource Pooling, Measured Service)
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Konular

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

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