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Question 45 - HPE0-V27 discussion

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Your customer needs a compute solution. Their aging data center can only supply 5kW per rack, which is below the 15kW required for your planned solution.

Which change could you recommend to satisfy the requirement while maintaining the planned solution's level of performance? (Choose two.)

A.
Design the solution with non-redundant power supplies.
Answers
A.
Design the solution with non-redundant power supplies.
B.
Use BMC tools to cap the power consumption of each server at 33%.
Answers
B.
Use BMC tools to cap the power consumption of each server at 33%.
C.
Spread the infrastructure across additional racks.
Answers
C.
Spread the infrastructure across additional racks.
D.
Host the compute solution with a colocation provider.
Answers
D.
Host the compute solution with a colocation provider.
E.
Convert the solution to HPE GreenLake pay-per-use.
Answers
E.
Convert the solution to HPE GreenLake pay-per-use.
Suggested answer: C, D

Explanation:

Spreading the infrastructure across additional racks can help reduce the power density per rack and avoid exceeding the 5kW limit of the customer's data center. This option may require more space and cabling, but it can preserve the performance and availability of the planned solution. Hosting the compute solution with a colocation provider can also help overcome the power constraint of the customer's data center, as well as provide other benefits such as scalability, security, and connectivity. This option may incur additional costs and complexity, but it can also enable the customer to access cloud services and hybrid solutions more easily. Both options are compatible with HPE GreenLake pay-per-use model, which can help the customer optimize their IT spending and consumption.Reference:https://www.hpe.com/psnow/doc/a00107143enw

https://www.hpe.com/us/en/newsroom/press-release/2017/11/hpe-expands-pay-per-use-it-to-key-business-workloads.html

https://www.globenewswire.com/news-release/2017/11/27/1206269/0/en/HPE-Expands-Pay-Per-Use-IT-to-Key-Business-Workloads.html

https://www.data3.com/knowledge-centre/blog/hpe-greenlake-use-cases-making-sense-of-economical-and-operational-drivers/

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asked 16/09/2024
Stefan Duerr
36 questions
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