Which aspect of cloud computing makes it very difficult to perform repeat audits over time to track changes and compliance?
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A. B. C. D.A.
Cloud environments will regularly change virtual machines as patching and versions are changed.
Unlike a physical environment, there is little continuity from one period of time to another.
It is very unlikely that the same virtual machines would be in use during a repeat audit.
The correct answer to this question is D. Dynamic optimization.
Dynamic optimization is a feature of cloud computing that allows the system to automatically adjust its resources and configurations to meet changing demands. This is a key advantage of cloud computing, as it enables organizations to optimize their use of resources and avoid over-provisioning.
However, dynamic optimization also makes it very difficult to perform repeat audits over time to track changes and compliance. This is because the system is constantly changing and adapting to new demands, which makes it hard to establish a stable and predictable environment for auditing purposes.
For example, if an organization is using a cloud service provider to host its applications and data, the provider may dynamically allocate resources to different tenants based on their needs. This means that the organization may not have full visibility into the underlying infrastructure, which makes it difficult to track changes and ensure compliance over time.
In addition, dynamic optimization can also make it difficult to establish a baseline for auditing purposes, as the system is constantly changing and adapting to new demands. This means that the organization may need to perform audits more frequently or use different auditing methods to ensure compliance over time.
Overall, dynamic optimization is a key feature of cloud computing that enables organizations to optimize their use of resources and avoid over-provisioning. However, it also presents challenges for auditing and compliance, as the system is constantly changing and adapting to new demands.