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Nutanix NCP-CN-6.10 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Networking in Kubernetes Environments | - Service networking and load balancing - Ingress controllers and traffic management |
| Topic 2: Operations, Monitoring, and Troubleshooting | - Troubleshooting workloads and cluster issues - Cluster monitoring and logging |
| Topic 3: Kubernetes on Nutanix Infrastructure | - Nutanix Kubernetes Platform (NKP) concepts - Cluster deployment and lifecycle management - Node management and scaling |
| Topic 4: Storage and Data Management | - Persistent volumes and storage classes - Nutanix storage integration with Kubernetes |
| Topic 5: Container Orchestration and Workloads | - Deploying workloads on Kubernetes clusters - Managing deployments, services, and ingress |
Nutanix Certified Professional - Cloud Native v6.10 Sample Questions:
Question 1
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 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
B. Configure Multi-Instance GPU (MIG):textCollapseWrapCopykubectl label nodes ${NODE} nvidia.com/mig.config=all-1g.6gb verwrite
C. 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
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
Question 2
A company recently deployed NKP. A Platform Engineer was asked to attach the existing Amazon EKS. A workspace and project were created accordingly, and resource requirements were met. What does the engineer need to do first to prepare the EKS clusters?
A. Configure a ConfigMap according to EKS configuration.
B. Configure HAProxy to get connected to EKS clusters.
C. Deploy cert-manager in the EKS clusters.
D. Create a service account with cluster-admin permissions.
Question 3
A Platform Engineer is preparing machine images for NKP through the NIB or KIB process. What is the purpose of doing this?
A. Tagging the image to be used specifically for NKP
B. Creating a CAPI-compliant image for use as NKP cluster nodes
C. Hardening an OS image with client-supplied hardening scripts
D. Creating a custom user account for NKP admins to ensure access to NKP nodes
Question 4
A company has enabled auto-scaling within an NKP cluster. What is the behavior for auto- scaling?
A. CPU is hot-added or hot-removed from a node.
B. Memory is hot-added or hot-removed from a node.
C. The Power-On Status/Mode of a node is changed to meet load conditions.
D. Nodes will be CAPI-created or CAPI-deleted as needed by the cluster.
Question 5
At a national defense company, protecting sensitive data is their top priority. With the increase in cyber-attacks, they have decided to implement an air-gapped Kubernetes environment to manage their critical applications, ensuring that no information could leak to the outside. The Kubernetes environment has three clusters deployed for their applications with centralized management. What type of licensing is required to enable this environment?
A. NKP Ultimate
B. NKP Starter
C. NKP UI
D. NKP Pro
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: A |






