Which provisioning model would you use when data is added quickly and often, with a need for consistent performance?

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Multiple Choice

Which provisioning model would you use when data is added quickly and often, with a need for consistent performance?

Explanation:
Provisioning models determine how storage space is allocated for a volume and how that affects performance. Thick provisioning allocates the entire requested capacity upfront, reserving all blocks immediately. With all space pre-allocated, the storage array doesn’t need to allocate new blocks during write activity, so latency remains predictable and throughput stays consistent even as data grows quickly. That makes it the best fit when data is added rapidly and you need stable performance. Thin provisioning saves space by allocating blocks only as data is written, but this on-demand allocation can introduce latency spikes and inconsistent performance under heavy write workloads. Overprovisioning refers to keeping extra headroom but isn’t the same formal provisioning approach as thick provisioning, and encryption is unrelated to how blocks are allocated.

Provisioning models determine how storage space is allocated for a volume and how that affects performance. Thick provisioning allocates the entire requested capacity upfront, reserving all blocks immediately. With all space pre-allocated, the storage array doesn’t need to allocate new blocks during write activity, so latency remains predictable and throughput stays consistent even as data grows quickly. That makes it the best fit when data is added rapidly and you need stable performance.

Thin provisioning saves space by allocating blocks only as data is written, but this on-demand allocation can introduce latency spikes and inconsistent performance under heavy write workloads. Overprovisioning refers to keeping extra headroom but isn’t the same formal provisioning approach as thick provisioning, and encryption is unrelated to how blocks are allocated.

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