A cloud engineer notices on a dashboard that the host is close to reaching maximum capacity for the CPU and memory in th

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A cloud engineer notices on a dashboard that the host is close to reaching maximum capacity for the CPU and memory in the cloud environment, which could cause performance issues. The cloud environment has 100 servers, with 25% of the servers consuming their compute only during peak business hours, 25% consuming half of the allocated resources, and the remaining 50% using the compute during off hours. Which of the following should the engineer perform to optimize the efficiency of the compute usage in the cloud?

A. Add additional CPUs and RAM to the host that is serving the cloud.
B. Adjust the cloud workload by migrating resource-intensive applications to different hosts.
C. Add additional hosts to the environment using the cloud management tool.
D. Enable automatic scaling in the cloud management tool.