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Hitachi Vantara HCE-3700 Exam - Topic 2 Question 14 Discussion

Actual exam question for Hitachi Vantara's HCE-3700 exam
Question #: 14
Topic #: 2
[All HCE-3700 Questions]

A user with a diskless VSP G800 uses ShadowImage from the G800 with a virtualized VSP G200 system.

Application performance suffers during the frequent ShadowImage resynchronization operations.

What should be done to reduce the impact of the ShadowImage throughput in this scenario?

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Suggested Answer: A

by Skye at May 03, 2022, 06:23 AM

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Lenita
7 months ago
Wait, does ShadowImage really slow things down that much?
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Reed
7 months ago
Increasing cache size (D) is always a good move!
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Juan
7 months ago
Not sure about C, setting Copy to 15 seems risky.
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Eve
7 months ago
I think A could work too, HDT pools are useful.
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Ruthann
8 months ago
Option B sounds solid, dedicated paths can help.
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Lisbeth
8 months ago
Increasing the cache size on the VSP G800 might improve hit rates, but I wonder if that's a more long-term solution rather than addressing the immediate issue.
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Yvonne
8 months ago
Setting Copy to 15 sounds familiar, but I can't recall if that actually reduces the impact on performance during resynchronization.
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Annette
8 months ago
I think using dedicated FC paths for the ShadowImage target volumes could help with performance, but I need to double-check how that interacts with RAID groups.
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Sage
8 months ago
I remember something about HDT pools managing workloads, but I'm not entirely sure if that's the best option here.
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Rickie
8 months ago
I think I've got this one. The first option about supporting batch creation/start/restart/close/wake up/sleep for virtual machines seems to be the correct description, so the incorrect one must be one of the other options.
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Leota
8 months ago
I practiced a similar question about health plans covering dependents, and I think the answer was COBRA too, but I'm worried I could mix them up under pressure.
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Val
8 months ago
Okay, I've got this. Since we need to split the customer list into a test and control group, and the platform recommends a 90/10 split, stratified random sampling is definitely the way to go. I feel confident about this one.
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