Free Nutanix NCP-MCI-6.5 Practice Exam with Questions & Answers | Set: 3

According to the web search results, one recommended configuration change to improve throughput for a custom backup application that requires a 2TB disk and runs on Windows is to span the 2TB disk across four vDisks. Spanning is a technique that allows you to create a single logical disk from multiple physical disks. Spanning can improve throughput by distributing I/O requests across multiple disks and reducing contention5. To span a disk across four vDisks, the administrator should create four vDisks of equal size (500 GB each) and attach them to the VM. Then, in Windows Disk Management, create a spanned volume from the four vDisks and format it as NTFS6.

network segmentation on Nutanix clusters refers to creating a separate network for service-specific communication and isolating different types of traffic over selected VLANs or physical interfaces.

https://next.nutanix.com/ncm-intelligent-operations-formerly-prism-pro-ultimate-26/network-segmentation-isolating-service-specific-traffic-39463

https://next.nutanix.com/how-it-works-22/network-segmentation-basics-38414

According to the Nutanix Support & Insights web search result1, if the owner Controller VM becomes unavailable, the address moves to another Controller VM, ensuring that it is always available. This IP address is also used as a cluster-wide address by clients configured as part of Nutanix Files and other products. Therefore, the host will automatically redirect I/O and VMs will continue running without any interruption.

Automated live migration is a feature of Nutanix that allows the cluster to automatically move VMs from one host to another without any downtime, in order to optimize the performance and availability of the cluster. According to the Nutanix documentation1, automated live migration can occur in the following scenarios:

• Cluster resource hotspot: When a host or a group of hosts experience high resource utilization, such as CPU, memory, or network, the cluster can automatically migrate some VMs to other hosts with lower utilization, in order to balance the load and avoid performance degradation.
• AOS upgrade: When upgrading the Nutanix software (AOS), the cluster can automatically migrate the VMs from the host that is being upgraded to another host in the same availability zone, in order to maintain the VM availability and minimize the impact of the upgrade process.
• AHV host maintenance mode: When putting an AHV host into maintenance mode, the cluster can automatically migrate all the VMs from that host to another host in the same availability zone, in order to prepare the host for maintenance operations such as hardware replacement or firmware update.

According to the Nutanix Files Guide, Nutanix Files instances are composed of a set of VMs (called FSVMs). Files requires at least three FSVMs running on three nodes to satisfy a quorum for high availability. By default, Files deploys three FSVMs when you create a file server instance.

The correct answer is D. VM Storage Controller Bandwidth.

VM Storage Controller Bandwidth is a metric that measures the amount of data that a VM is reading and writing to the storage fabric. The storage fabric is the network of storage controllers (CVMs) that provide distributed and fault-tolerant storage services to the VMs on the Nutanix cluster. The VM Storage Controller Bandwidth metric shows the read and write bandwidth in megabytes per second (MBps) for each VM. The higher the bandwidth, the more data the VM is transferring to and from the storage fabric1.

The administrator can use Prism Central to view the VM Storage Controller Bandwidth metric for each VM in a chart or a widget. The administrator can also use Prism Central to view other metrics related to the VM’s storage performance, such as VM Storage Controller IOPS, VM Storage Controller Latency, and VM Disk Usage2.

A GPU (graphics processing unit) is a specialized hardware device that can accelerate graphics rendering and computation for applications that use APIs such as DirectX, OpenGL, CUDA, and OpenCL. A GPU can also offload the CPU from encoding and decoding tasks for remote display protocols such as Frame Remote Desktop Protocol (FRP). A VM can use a GPU either by directly accessing a physical GPU (pGPU) on the host or by using a virtual GPU (vGPU) that shares a pGPU with other VMs. A user running a computer aided design (CAD) application may benefit from using a GPU or a vGPU to improve the performance and responsiveness of the application, especially when moving windows or rendering images. However, if the GPU or vGPU is not properly configured or provisioned, the user may experience slow response time within the VM. Therefore, to diagnose the problem, the administrator should monitor the GPU Usage metric for the VM. The GPU Usage metric shows the percentage of GPU resources that are consumed by the VM over time3. The administrator can use Prism Central to view the GPU Usage metric for each VM in a chart or a widget4. The administrator can also use Prism Central to view other metrics related to GPU performance, such as GPU Memory Usage, GPU Encoder Usage, and GPU Decoder Usage3. By analyzing these metrics, the administrator can determine if the VM is using the GPU efficiently and optimally, or if it needs more or less GPU resources.