CompTIA Cloud+ Practice Test

How can a cloud engineer optimize CPU and memory usage in a cloud environment with multiple servers?

1. Add additional CPUs and RAM to the host

2. Migrate resource-intensive applications to different hosts

3. Add additional hosts to the environment

4. Enable automatic scaling in the management tool

The correct answer is: Migrate resource-intensive applications to different hosts

Migrating resource-intensive applications to different hosts is an effective strategy for optimizing CPU and memory usage in a cloud environment. By dispersing heavy workloads across multiple servers, it helps to balance the load and prevent any single host from becoming a bottleneck. This redistribution of resources allows the servers to operate more efficiently, improving overall performance and ensuring that resources are not over-allocated or under-utilized. This approach is particularly beneficial in dynamic cloud environments where workloads can fluctuate significantly. By carefully analyzing application demands and system performance, a cloud engineer can strategically relocate applications, thereby reducing the strain on specific servers and enhancing the use of available resources across the environment. Other strategies, while potentially useful, do not directly address the optimization of CPU and memory usage in the way that careful application migration does. Adding CPUs and RAM to the host may temporarily increase resource availability, but it doesn't tackle the underlying issue of overburdening a single host. Adding additional hosts can provide more capacity but may not effectively manage existing resource distribution. Enabling automatic scaling can help manage load based on demand but relies on accurate configurations and can be less efficient if the initial distribution of workloads is uneven.