Huawei Exam H19-369 Topic 1 Question 93 Discussion

Actual exam question for Huawei's H19-369 exam

Question #: 93
Topic #: 1

[All H19-369 Questions]

NAS features of Huawei V5 hybrid series storage products are not included?

AMulti-tenant

BGlobal namespace

CFile label

DQuotas

EWORM

FIntegrated backup

Show Suggested Answer

Suggested Answer: A, B, C, D

by Nydia at Jul 19, 2024, 01:58 AM

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Sherell

10 months ago

Wait, so NVIDIA's got a CPU now? I thought they were all about those sweet, sweet GPUs. Maybe they're trying to take on Intel and AMD in a cage match or something.

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Kenda

10 months ago

High-density integration of servers, huh? Sounds like someone's been watching too many sci-fi movies. I'm sticking with C, it's the only one that makes sense to me.

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Aliza

9 months ago

Definitely, high-density integration of servers does sound like something out of a sci-fi movie.

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Glenn

9 months ago

Yeah, Tesla is for HPC and AI, while Grid is for data center graphics virtualization.

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Walker

9 months ago

I agree, the data center products mainly include Tesla and Grid series.

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Jean

10 months ago

I think C is the correct description about the NVIDIA CPU.

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Twanna

10 months ago

Hmm, D sounds like a bit of a stretch. I mean, Tesla in security cameras? That's a bit of a reach. C is the way to go.

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Dexter

10 months ago

Whoa, Tesla in mobile phones and tablets? That's news to me. I'm going with C, it seems the most comprehensive and accurate description.

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Willard

9 months ago

Yeah, Tesla is not just for mobile phones and tablets, it's also used for HPC and AI in data centers.

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Veta

10 months ago

I think C is the correct description, it covers the data center products like Tesla and Grid series.

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Helga

10 months ago

I believe Quadro/NVS is mainly used in 2D/3D graphics, video editing, etc.

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Germaine

11 months ago

I agree with Sunshine, Tesla is for HPC and Grid is for data center graphics virtualization.

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Alesia

11 months ago

I think the correct answer is C. The Data center products like Tesla and Grid are clearly designed for HPC, AI, and data center graphics virtualization.

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