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Exam 3V0-21.21 All Questions

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Exam 3V0-21.21 topic 1 question 25 discussion

Actual exam question from VMware's 3V0-21.21
Question #: 25
Topic #: 1
[All 3V0-21.21 Questions]

An organization's data scientists are executing a plan to use machine learning (ML). They must have access to graphical processing unit (GPU) capabilities to execute their computational models when needed. The solutions architect needs to design a solution to ensure that GPUs can be shared by multiple virtual machines.
Which two solutions should the architect recommend to meet these requirements? (Choose two.)

  • A. NVIDIA vGPU
  • B. AMD MxGPU
  • C. vSphere DirectPath I/O
  • D. vSGA
  • E. vSphere Bitfusion
Show Suggested Answer Hide Answer
Suggested Answer: AE 🗳️
Reference:
https://blogs.vmware.com/apps/files/2019/08/5521-VMW-GPU-MACHINE-LEARNING-GUIDE-USLET-WEB-20190812.pdf

Comments

Chosen Answer:
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chevreuil00
3 months ago
Selected Answer: AE
A and E is correct
upvoted 1 times
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taku94
9 months, 1 week ago
For Grid vGPU, I think A is correct. Are D and E correct?
upvoted 1 times
marlin008
9 months, 1 week ago
A&E Correct.
upvoted 4 times
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marlin008
9 months, 2 weeks ago
A&D only two technology: https://blogs.vmware.com/performance/2020/01/vmware-vsga-for-content-rich-vdi.html
upvoted 2 times
marlin008
9 months, 1 week ago
"ensure that GPUs can be shared by multiple virtual machines" Change My Answer A&E
upvoted 3 times
marlin008
9 months, 1 week ago
the two Key Point, 1. it's for machine learning 2. it's can be shared by VMs.
upvoted 1 times
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C (25%)
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