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Which of the following cloud server resources can be automatically raised and lowered through elastic scaling?

Created: Feb 25, 2022 12:25:33Latest reply: Feb 25, 2022 20:38:29 358 7 0 0 0
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Which of the following cloud server resources can be automatically raised and lowered through elastic scaling?

A.    Bandwidth

B.    Memory

C.    CPU

D.    Hard disk capacity



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Saqibaz
Created Feb 25, 2022 12:29:49

Hi ISD202220,

The answer is Bandwidth


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little_fish
little_fish Created Feb 25, 2022 13:45:52 (0) (0)
 
little_fish
Admin Created Feb 25, 2022 12:26:51

hello friend, 

Currently, autoscaling supports automatic increase or decrease of bandwidth resources, automatic increase or decrease of the number of ECS instances in an AS group, but automatic increase or decrease of server CPU and memory configuration is not supported.

The answer is A. Thanks.

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Saqibaz
Saqibaz Created Feb 26, 2022 03:43:49 (0) (0)
 
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little_fish
little_fish Admin Created Feb 25, 2022 12:26:51

hello friend, 

Currently, autoscaling supports automatic increase or decrease of bandwidth resources, automatic increase or decrease of the number of ECS instances in an AS group, but automatic increase or decrease of server CPU and memory configuration is not supported.

The answer is A. Thanks.

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Saqibaz
Saqibaz Created Feb 26, 2022 03:43:49 (0) (0)
 
Saqibaz
Saqibaz Created Feb 25, 2022 12:29:49

Hi ISD202220,

The answer is Bandwidth


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little_fish
little_fish Created Feb 25, 2022 13:45:52 (0) (0)
 
BAZ
BAZ MVE Author Created Feb 25, 2022 13:14:40

A. Bandwidth

B. Memory

C. CPU

D. Hard disk capacity

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little_fish
little_fish Created Feb 25, 2022 13:46:05 (0) (0)
 
Zonger
Zonger Created Feb 25, 2022 20:38:29

Hi, The answer is A,B,C

Bandwidth: Autoscaling supports automatic increase or decrease of bandwidth resources.
Memory: The memory resource scaling is done using Xen’s setMemoryTarget API.
CPU: Cloud Scale can resolve scaling conflicts between applications using migration, and integrates dynamic CPU voltage/frequency scaling to achieve energy savings with minimal effect on application SLOs.


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