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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions:

1. A Platform Engineer needs to utilize the Konvoy Image Builder for building a custom operating system image. This image will be used to deploy clusters on various platforms. The engineer has been tasked with creating an OS image compatible with Konvoy's requirements. In order to successfully build a compatible image using the Konvoy Image Builder, the engineer needs to ensure that a development environment meets the necessary prerequisites. Which system is required to create a compatible OS image with the Konvoy Image Builder?

A) A 32-bit Windows machine with a USB connection
B) An x86_64-based Linux or MacOS Machine
C) A lambda instance within an AWS account
D) A virtualized arm64 environment using KVM

2. A Cloud Engineer manages an NKP environment and is preparing a machine image to become an NKP cluster node.
Which statement is regarding the default node preparation process?

A) Shell scripts are used to harden the OS image for use as an NKP node.
B) Goss is used to make the OS image CAPI compliant for use as an NKP node.
C) Ansible is used to validate the OS image is capable of running NKP.
D) Goss is used to validate the OS image is capable of running NKP.

3. Which two statements are true regarding deploying NKP on an Azure Kubernetes Service (AKS) Infrastructure? (Choose two.)

A) AKS clusters can be deployed as Management or Pro NKP clusters.
B) AKS best practices encourage building customized images.
C) NKP Management cluster with the Kommander component must be installed before installing NKP on AKS cluster.
D) Existing AKS clusters must be attached to the Management cluster.

4. A current Nutanix cluster is hosting an NKP cluster and a production Kubernetes cluster named production. Infrastructure administrators recently added three nodes with NVidia GPUs for a new AI initiative, and now a Platform Engineer has been asked to add three workers with the GPUs to the production Kubernetes cluster. Which first step should the engineer take to achieve this task?

A) Create a nodepool of workers with GPU:textCollapseWrapCopynkp create nodepool nutanix -c
$CLUSTER_NAME \--vm-image $NAME_OF_GPU_OS_IMAGE_CREATED_BY_NKP_CLI \-o
yaml -- subnets $NUTANIX_SUBNET_NAME \--prism-element-cluster
$NUTANIX_PRISM_ELEMENT_CLUSTER_NAME \$NODEPOOL_NAME
B) Create a GPU-compatible OS Image with:textCollapseWrapCopynkp create image nutanix --gpu \-
- gpu-name=${GPU_NAME} \--cluster=${NUTANIX_CLUSTER_NAME} \--endpoint=${NUTANIX_PC_ENDPOINT} \--subnet=${NUTANIX_SUBNET} ubuntu-22.04
C) Configure Multi-Instance GPU (MIG):textCollapseWrapCopykubectl label nodes ${NODE} nvidia.com/mig.config=all-1g.6gb verwrite
D) Add the GPU Operator to the new workers:textCollapseWrapCopycat <<EOF | kubectl apply -f - kind: Installationapps:nvidia-gpu-operator:enabled: truevalues: |toolkit:nodepool: md-0EOF

5. Which resource must be configured to allow deployment of applications into a workspace?

A) RoleBinding
B) PVC (Persistent Volume Claim)
C) ServiceMonitor
D) Infrastructure Provider

Solutions: