Rapid provisioning of resources and Elastic, on-demand compute capacity are correct because they most directly accelerate Polaris Learning's ability to experiment and deliver changes faster.

Rapid provisioning of resources lets teams create and tear down development, test, and staging environments in minutes which removes hardware and manual setup delays and shortens feedback loops for prototypes.

Elastic, on-demand compute capacity enables immediate right-sizing and scaling so experiment workloads can grow or shrink without procurement delays which supports rapid iteration and controlled cost during trials.

AWS Direct Connect provides dedicated private network connectivity to on-premises locations and it improves performance and consistency but it does not directly speed development cycles or simplify creating test environments.

Lower total cost of ownership is a financial benefit that may result from cloud use and it is valuable but it is not an operational mechanism that by itself makes teams deliver features faster.

Globally secured data centers improve security and compliance and they are important for scaling and trust yet they do not directly accelerate the pace of experimentation or deployments.

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