Which practice involves estimating the personnel, storage, computer hardware, software, and connection infrastructure resources required over some future period of time?

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Multiple Choice

Which practice involves estimating the personnel, storage, computer hardware, software, and connection infrastructure resources required over some future period of time?

Explanation:
Capacity planning is the practice of estimating the personnel, storage, computer hardware, software, and connection infrastructure resources required over a future period. It answers how many people will be needed to support operations, how much storage must be provisioned, what servers and network gear are required, and which software licenses will be necessary, all aimed at a forecast horizon. The goal is to ensure we can meet anticipated demand without overprovisioning, balancing performance, cost, and growth. This involves analyzing current usage, growth trends, planned projects, and technology lifecycles to translate those insights into concrete resource requirements and a plan to acquire or scale them. For example, if you expect higher user growth or increased transaction volumes next year, capacity planning helps determine whether more data-center space, additional servers, extra licenses, more staff, or greater bandwidth are needed to avoid performance bottlenecks. In contrast, the other terms describe disaster recovery options with varying levels of readiness (hot site being fully ready to run, warm site with some infrastructure, cold site with space but minimal equipment) and do not focus on forecasting and provisioning future resources.

Capacity planning is the practice of estimating the personnel, storage, computer hardware, software, and connection infrastructure resources required over a future period. It answers how many people will be needed to support operations, how much storage must be provisioned, what servers and network gear are required, and which software licenses will be necessary, all aimed at a forecast horizon. The goal is to ensure we can meet anticipated demand without overprovisioning, balancing performance, cost, and growth. This involves analyzing current usage, growth trends, planned projects, and technology lifecycles to translate those insights into concrete resource requirements and a plan to acquire or scale them. For example, if you expect higher user growth or increased transaction volumes next year, capacity planning helps determine whether more data-center space, additional servers, extra licenses, more staff, or greater bandwidth are needed to avoid performance bottlenecks. In contrast, the other terms describe disaster recovery options with varying levels of readiness (hot site being fully ready to run, warm site with some infrastructure, cold site with space but minimal equipment) and do not focus on forecasting and provisioning future resources.

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