Which feature should a cloud administrator consider using when provisioning multiple VMs within limited RAM?

The best choice for a cloud administrator provisioning multiple virtual machines (VMs) within limited RAM is memory overcommitment, which allows more virtual RAM to be allocated to VMs than is physically available on the host. This technique is based on the understanding that not all VMs will use their configured memory at the same time, allowing for better utilization of resources.

When a cloud administrator employs memory overcommitment, the system can efficiently run multiple VMs by balancing memory usage and optimizing performance, particularly in environments where workloads are diverse and not entirely memory-intensive. This approach enables the deployment of more VMs than the physical memory would normally allow, thus maximizing the use of available resources.

While the thin-provisioned model, process scheduling, and hyperthreading are beneficial features in various contexts, they do not specifically address the challenge of limited RAM in the same way. Thin provisioning focuses on disk space usage, process scheduling optimizes CPU management, and hyperthreading enhances CPU throughput by allowing multiple threads to run on each CPU core. Each of these has its own advantages but is not directly aimed at managing RAM limitations as effectively as memory overcommitment.