A cloud administrator must restore 10 virtual machines after a disruption and wants to minimize overall downtime by launching several restoration jobs concurrently instead of restoring each VM one after another. Which recovery type is specifically intended to reduce recovery time by running multiple restorations at the same time?
Parallel recovery (also called parallel restore) starts multiple restore threads simultaneously, so several systems come back online together. Because jobs run side-by-side rather than waiting for one to finish before the next begins, total elapsed recovery time is shorter than with sequential, in-place, bulk, or granular methods that work on one target at a time or focus on different scopes of data.
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Why is performing multiple restorations simultaneously faster?
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What factors could limit simultaneous restorations?
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How can you prioritize which systems to restore first in a simultaneous process?