Which of the following factors are considered by DRS to perform virtual machine migration?

Distributed Resource Scheduler (DRS) in a virtualized environment primarily focuses on balancing the workload across the hosts within a cluster to optimize resource usage. The correct choice emphasizes the two critical aspects, memory and CPU, that DRS evaluates to decide on virtual machine migration.

When DRS analyzes the performance needs of virtual machines, it pays particular attention to the CPU and memory usage since these resources are essential for ensuring that virtual machines operate effectively without performance degradation. If a host is overloaded with CPU cycles demanded by running VMs or if memory resources are insufficient, DRS can initiate a migration to redistribute the load across other underutilized hosts in the cluster. This redistribution helps maintain optimal performance and prevents bottlenecks that could impact application responsiveness.

While I/O and network traffic can also play a role in the overall performance analysis, DRS fundamentally prioritizes CPU and memory requirements for making migration decisions. By concentrating on these two factors, DRS can ensure that each virtual machine has adequate resources, thus optimizing the performance of the entire environment. Other options may include additional factors like power consumption or I/O, but those are secondary considerations in the context of DRS's primary functionality.