What is the primary outcome of rightsizing cloud resources?

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Multiple Choice

What is the primary outcome of rightsizing cloud resources?

Explanation:
Rightsizing cloud resources means continuously adjusting compute, memory, and storage to match actual workload demands so you’re not paying for more than you need while still meeting performance goals. The primary outcome is aligning resources to the workload to optimize costs and performance. When demand drops, you scale down; when demand rises, you scale up. This keeps cost per unit of work low and preserves responsiveness and throughput, reducing waste from overprovisioning and avoiding performance bottlenecks from underprovisioning. Options that push capacity beyond need, delete all unused storage as a blanket rule, or lock resources in place regardless of usage don’t reflect the adaptive, demand-driven nature of rightsizing.

Rightsizing cloud resources means continuously adjusting compute, memory, and storage to match actual workload demands so you’re not paying for more than you need while still meeting performance goals. The primary outcome is aligning resources to the workload to optimize costs and performance. When demand drops, you scale down; when demand rises, you scale up. This keeps cost per unit of work low and preserves responsiveness and throughput, reducing waste from overprovisioning and avoiding performance bottlenecks from underprovisioning.

Options that push capacity beyond need, delete all unused storage as a blanket rule, or lock resources in place regardless of usage don’t reflect the adaptive, demand-driven nature of rightsizing.

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