Which two statements are true regarding scaling on demand?

Scaling on demand refers to the ability to adjust resources such as compute power and storage independently based on the current needs of an application or service. The correct choice emphasizes that compute and storage can be scaled independently. This flexibility is critical in cloud computing, where workloads can fluctuate, allowing organizations to optimize costs and performance effectively without unnecessary resource allocation.

For instance, if an application experiences increased traffic, you may need to scale compute resources to handle user requests without needing to increase storage capacity simultaneously. Alternatively, the application could require additional storage to handle increased data inputs without needing more compute resources. This independence allows businesses to respond dynamically to their changing operational requirements.

The other statements do not encapsulate the principle of demand scaling accurately. Some scenarios might require compute and storage to scale together, but that is not a defining feature of demand scaling and does not represent its flexibility. Additionally, resizing often requires a restart in certain systems, particularly when making changes that impact the virtual machine or instance type. Lastly, resizing processes can vary in speed and might not occur instantly or fully online, suggesting that some systems might experience temporary interruptions or require maintenance windows to implement changes.