Which statement best describes cloud bursting in the context of cloud scaling?

Which statement best describes cloud bursting in the context of cloud scaling?

• A. Cloud bursting uses the public cloud to handle peak loads when private capacity is exceeded.
• B. Cloud bursting balances load across servers within a single data center.
• C. Cloud bursting is a method of scaling by upgrading the hardware of on-premises servers.
• D. Cloud bursting refers to duplicating data to a secondary private cloud.

Answer: (A)

Cloud bursting is an elastic scaling approach where normal operations run on a private environment, and when demand spikes exceed private capacity, workloads are temporarily shifted to a public cloud. This lets you handle peak loads without permanently procuring more on-prem resources, paying for extra capacity only during those spikes. That description matches the statement that cloud bursting uses the public cloud to handle peak loads when private capacity is exceeded. The other ideas describe different concepts: balancing load within a single data center is standard load balancing, upgrading on-prem hardware is vertical scaling, and duplicating data to a secondary private cloud refers to data replication or disaster recovery rather than bursting compute workloads to the public cloud.

Cloud bursting is an elastic scaling approach where normal operations run on a private environment, and when demand spikes exceed private capacity, workloads are temporarily shifted to a public cloud. This lets you handle peak loads without permanently procuring more on-prem resources, paying for extra capacity only during those spikes.

That description matches the statement that cloud bursting uses the public cloud to handle peak loads when private capacity is exceeded. The other ideas describe different concepts: balancing load within a single data center is standard load balancing, upgrading on-prem hardware is vertical scaling, and duplicating data to a secondary private cloud refers to data replication or disaster recovery rather than bursting compute workloads to the public cloud.