VMware Certified Professional - Data Center Virtualization (VCP-DCV) Practice Exam

If users report CPU performance problems on a virtual machine, what advanced parameter should be enabled to improve memory affinity?

1. Enable the advanced parameter Numa.PageMigEnable.

2. Enable the advanced parameter Numa.AutoMemAffinity.

3. Enable CPU affinity to separate 2 vCPUs for each NUMA node.

4. Enable CPU affinity to bind all vCPUs to one NUMA node.

The correct answer is: Enable the advanced parameter Numa.AutoMemAffinity.

Enabling the advanced parameter Numa.AutoMemAffinity is a beneficial action to improve memory affinity for a virtual machine experiencing CPU performance problems. This parameter enables automatic memory affinity management, which helps to ensure that virtual CPUs (vCPUs) are more closely aligned with their respective memory resources across Non-Uniform Memory Access (NUMA) nodes. This is crucial in a NUMA architecture, where memory access times can vary depending on the physical proximity of the memory to the CPU. When Numa.AutoMemAffinity is enabled, the hypervisor intelligently manages memory allocation and ensures that a virtual machine's memory is allocated from the NUMA node that is nearest to the vCPUs that are actively using it. This can lead to a significant reduction in latency and an overall improvement in the performance of applications running on the virtual machine, as it minimizes the overhead associated with accessing remote memory. In contrast, options that involve manually setting CPU affinity or modifying other NUMA-related settings may not provide the same level of dynamic optimization. While configuring CPU affinity to separate or bind vCPUs to specific NUMA nodes can be useful in certain scenarios, it often requires careful planning and can complicate resource management, potentially leading to suboptimal performance if not done correctly. Enabling