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H19-435_V1.0 · Question #17

FusionCube2000 hyper-convergence supports independent expansion of computing nodes or storage nodes

The correct answer is A. TRUE. A (TRUE) is correct because FusionCube2000 is designed with a disaggregated architecture that allows computing nodes and storage nodes to scale independently of each other - you can add more compute without adding storage, and vice versa. This flexibility addresses a common…

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Question

FusionCube2000 hyper-convergence supports independent expansion of computing nodes or storage nodes

Options

  • ATRUE
  • BFALSE

How the community answered

(35 responses)
  • A
    89% (31)
  • B
    11% (4)

Explanation

A (TRUE) is correct because FusionCube2000 is designed with a disaggregated architecture that allows computing nodes and storage nodes to scale independently of each other - you can add more compute without adding storage, and vice versa. This flexibility addresses a common limitation of traditional hyper-converged infrastructure (HCI), where compute and storage are bundled together and must scale in lockstep.

B (FALSE) is wrong because it contradicts FusionCube2000's core design advantage: the ability to independently expand either resource tier based on actual workload demands, avoiding over-provisioning.

Memory tip: Think of "hyper" in FusionCube2000 as meaning hyperflexible - unlike older converged systems where you're stuck scaling everything together, FusionCube2000 lets you scale compute or storage independently, matching the resource that your workload actually needs.

Topics

#FusionCube2000#hyper-convergence#independent node expansion#scalability

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