Computer Science, asked by rimarana00143, 1 month ago

Which availability sets provide a physical separation of workloads across different hardware in a data center.
Select one:
Update domains (UD)
Availability zone
Fault domains (FD)
Update zone

Answers

Answered by Skmishra3348
0

Answer:

When deploying out your cloud resources and workloads, it's generally best to choose the Azure Region that's closest to your employees, users, or customers. This will keep the latency down when communicating across the Internet.

Answered by krishna210398
0

Answer:

The correct answer is Availability zone

Explanation:

Availability zones

Availability zones expands the extent of manipulate you have to hold the supply of the packages and data for your VMs. An Availability sector is a physically separate zone, within an Azure area. There are three Availability Zones in step with supported Azure area.

every Availability quarter has a distinct electricity supply, community, and cooling. with the aid of designing your solutions to use replicated VMs in zones, you could guard your apps and records from the loss of a information middle. If one sector is compromised, then replicated apps and statistics are immediately available in every other region.

virtual Machines Scale sets

Azure virtual gadget scale units allow you to create and control a collection of load balanced VMs. The wide variety of VM times can automatically growth or decrease in reaction to call for or a defined time table. Scale units offer high availability for your packages, and allow you to centrally manipulate, configure, and replace many VMs. there may be no price for the scale set itself, you handiest pay for every VM example which you create.

Virtual machines in a scale set also can be deployed into more than one availability zones, a single availability zone, or regionally. Availability quarter deployment alternatives may additionally fluctuate primarily based on the orchestration mode.

Which availability sets provide a physical separation of workloads across different hardware in a data center.

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Definition of fault​

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