A company wants to create a few additional VDIs so support vendors and contractors have a secure method to access the company's cloud environment. When a cloud administrator attempts to create the additional instances in the new locations, the operation is successful in some locations but fails in others. Which of the following is the most likely reason for this failure?

Cloud providers impose service quotas or limits on the number of resources an account can provision within a specific region. When a cloud administrator attempts to create new resources, such as VDI instances, the request will fail if the account has already reached its predefined limit for that resource type (e.g., vCPUs, virtual machines) in that particular region. Since quotas are typically managed on a per-region basis, this explains why the creation is successful in some locations (where the quota has not been met) but fails in others (where the quota has been exceeded). This is a common operational constraint in cloud environments.

A. Partial service outages: A service outage would likely affect both new and existing services and is typically a temporary, unscheduled event, not a consistent barrier to creating new resources.
B. Regional service availability: This would mean the VDI service is entirely unavailable in certain regions, preventing the creation of any instances, not just failing after some have been deployed.
D. Deprecation of functionality: Deprecation is the planned retirement of a service or feature. This would typically result in failures across all regions, not a location-specific issue.

1. Amazon Web Services (AWS) Documentation: "Service Quotas." AWS states

"Quotas

also referred to as limits in AWS

are the maximum number of resources that you can create in an AWS account... Many quotas are specific to an AWS Region." This confirms that resource limits are a regional constraint.

Source: AWS Documentation

"What Is Service Quotas?"

https://docs.aws.amazon.com/servicequotas/latest/userguide/intro.html

2. Microsoft Azure Documentation: "Azure subscription and service limits

quotas

and constraints." The documentation details how quotas are applied per subscription and per region. For example

under "Virtual machine vCPU quotas

" it states

"vCPU quotas are arranged in two tiers for each subscription

in each region."

Source: Microsoft Azure Documentation

"vCPU quotas

" https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/azure-subscription-service-limits#vcpu-quotas

3. Google Cloud Documentation: "Working with quotas." The documentation specifies the scope of quotas: "Quotas are enforced on a per-project

per-region

or per-zone basis." This directly supports the concept of location-specific resource creation failures due to limits.

Source: Google Cloud Documentation

"About quotas

" https://cloud.google.com/docs/quota#aboutquotas

4. Armbrust

M.

et al. (2010). A view of cloud computing. Communications of the ACM

53(4)

50-58. This foundational academic paper on cloud computing discusses elasticity as a key feature but also notes the practical limitations imposed by providers to manage resources

which manifest as quotas. The paper implicitly supports the idea that resource provisioning is not infinite and is subject to provider-imposed controls.

DOI: https://doi.org/10.1145/1721654.1721672 (Section 3.1

"Elasticity and the Illusion of Infinite Resources")