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Nutanix NCP-CN Exam Syllabus Topics:

Topic
Details

Topic 1

Perform Day 2 Operations: This part assesses the expertise of site reliability engineers and cluster operators in ongoing cluster management tasks after deployment. It includes configuring authentication and authorization mechanisms, setting up logging systems, and implementing cluster backup and recovery procedures. Candidates also need to demonstrate skills in monitoring cluster performance and health, configuring autoscaling to handle workload changes, and performing lifecycle management functions such as upgrades and maintenance.

Topic 2

Conduct NKP Fleet Management: This section tests the abilities of platform administrators and cloud operations engineers in managing multiple clusters as a fleet. It focuses on configuring workspaces to organize clusters, deploying workload clusters within these workspaces, and attaching or detaching clusters as needed. Additionally, candidates must be able to configure projects for workload segmentation and manage platform applications that support the overall NKP environment.

Topic 3

Prepare the Environment for an NKP Deployment: This section of the exam measures the skills of infrastructure engineers and cloud administrators and covers the initial setup tasks needed for NKP deployment. Candidates must demonstrate the ability to seed a private container registry, create a bootstrap Kubernetes cluster, and determine license tiers suitable for clusters. They also need to prepare a bastion host for secure access, build machine images or prepare nodes for deployment, and gather all necessary information to build a cluster on the target cloud or on-premises provider.

Topic 4

Manage Building an NKP Cluster: This section evaluates the skills of Kubernetes administrators and platform engineers in customizing and deploying NKP clusters. Candidates must show proficiency in tailoring cluster configurations to meet specific requirements and deploying Kommander, the management platform, while applying the appropriate licenses to enable cluster features and management capabilities.

Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q110-Q115):

NEW QUESTION # 110
A Platform Engineer would like to deploy an NKP Platform Application to all the clusters within an NKP workspace from the command line. What is the command set to use, and what parameters must be specified with it?

A. The nkp deploy app command set would be utilized. The application ID, as well as the NKP workspace of the clusters, must be provided.
B. The kubectl create appdeployment command set would be utilized. The application ID, as well as the NKP workspace of the clusters, must be provided.
C. The nkp deploy platform-app command set would be utilized. The application ID, as well as the NKP workspace of the clusters, must be provided.
D. The nkp create appdeployment command set would be utilized. The application ID & version, as well as the NKP workspace of the clusters, must be provided.

Answer: D

Explanation:
NKP Platform Applications (e.g., Rook Ceph, Prometheus, Fluent Bit) are pre-integrated tools that can be deployed to Kubernetes clusters within a workspace to provide services like storage, monitoring, and logging.
The NKPA course specifies that to deploy a platform application to all clusters in a workspace from the command line, the engineer uses the nkp create appdeployment command. This command creates an application deployment resource that targets the specified workspace and clusters.
The required parameters include the application ID (to identify the platform application), the version (to specify the desired version of the application), and the NKP workspace (to define the scope of clusters). For example: nkp create appdeployment --app-id prometheus --version 2.30.0 --workspace fin-vd. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "Use the nkp create appdeployment command to deploy platform applications, specifying the application ID, version, and target workspace to apply the deployment across all clusters in that workspace." Incorrect Options:
* B. nkp deploy platform-app: This is not a valid NKP command. The correct command is nkp create appdeployment.
* C. nkp deploy app: This is not a recognized command in the NKPA documentation.
* D. kubectl create appdeployment: kubectl interacts with Kubernetes resources, not NKP-specific platform applications.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Platform Application Deployment.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com

NEW QUESTION # 111
Which two statements are true regarding deploying NKP on an Azure Kubernetes Service (AKS) Infrastructure? (Choose two.)

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

Answer: A,C

NEW QUESTION # 112

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. Add the GPU Operator to the new workers:
text
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cat <<EOF | kubectl apply -f -
kind: Installation
apps:
nvidia-gpu-operator:
enabled: true
values: |
toolkit:
nodepool: md-0
EOF
B. Configure Multi-Instance GPU (MIG):
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kubectl label nodes ${NODE} nvidia.com/mig.config=all-1g.6gb -overwrite
C. Create a nodepool of workers with GPU:
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nkp 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
$NODEPOOL_NAME
D. Create a GPU-compatible OS Image with:
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nkp create image nutanix --gpu
--gpu-name=${GPU_NAME}
--cluster=${NUTANIX_CLUSTER_NAME}
--endpoint=${NUTANIX_PC_ENDPOINT}
--subnet=${NUTANIX_SUBNET} ubuntu-22.04

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of Nutanix Kubernetes Platform Administration (NKPA) Course:
The NKPA course outlines the process of adding GPU-enabled worker nodes to an existing NKP-managed Kubernetes cluster, such as the production cluster in this scenario. The first step in this process is to ensure that a GPU-compatible OS image is available for the new worker nodes, as GPU support requires specific drivers and configurations (e.g., NVIDIA drivers) that are not included in standard OS images.
The correct first step is to create a GPU-compatible OS image using the command:
text
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nkp create image nutanix --gpu
--gpu-name=${GPU_NAME}
--cluster=${NUTANIX_CLUSTER_NAME}
--endpoint=${NUTANIX_PC_ENDPOINT}
--subnet=${NUTANIX_SUBNET} ubuntu-22.04
(Option D). This command uses the NKP CLI to create a machine image based on Ubuntu 22.04, tailored for Nutanix AHV infrastructure (nutanix) with GPU support enabled (--gpu). The --gpu-name flag specifies the GPU type (e.g., NVIDIA GPU model), and other parameters define the Nutanix cluster, Prism Central endpoint, and subnet for image creation. The resulting image includes the necessary NVIDIA drivers and dependencies, making it suitable for GPU-enabled worker nodes. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "Before adding GPU-enabled workers to an NKP cluster on Nutanix, the first step is to create a GPU-compatible OS image using nkp create image nutanix --gpu, ensuring the image includes the required GPU drivers for the target infrastructure." This image is then used in subsequent steps (like Option A) to create a node pool with GPU-enabled workers.
Without this image, the node pool creation in Option A would fail due to the lack of a suitable --vm-image.
Incorrect Options:
* A. Create a nodepool of workers with GPU: This step requires a pre-existing GPU-compatible OS image (specified via --vm-image). Since the question does not indicate that such an image already exists, creating the image (Option D) must happen first.
* B. Add the GPU Operator to the new workers: The NVIDIA GPU Operator can be installed to manage GPU resources, but this step occurs after the GPU-enabled workers are added to the cluster, not as the first step.
* C. Configure Multi-Instance GPU (MIG): MIG configuration is an advanced GPU setup step that occurs after the workers are added and the GPU Operator is installed, not as the first step.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on GPU Support in NKP Clusters.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Managing NKP Clusters.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com NVIDIA GPU Operator Documentation: https://docs.nvidia.com/datacenter/cloud-native/gpu-operator Before adding GPU-enabled worker nodes to the cluster, a GPU-compatible OS image must be created. This ensures that the required drivers and kernel modules are present for GPU workloads. This step is critical as it ensures the OS image is properly prepared for GPU operations before the nodes are integrated into the cluster.
References: Nutanix Kubernetes Platform Administration Guide - GPU Node Preparation and Image Management

NEW QUESTION # 113
A Platform Engineer is running a Kubernetes cluster version 1.28.1 on AWS that needs to be upgraded to version 1.29.9. This cluster was deployed with Nutanix NKP. Which two actions should the engineer take to complete this requirement? (Choose two.)

A. Upgrade the Cluster with nkp update cluster aws --cluster-name=${CLUSTER_NAME} --ami AMI_ID --kubernetes-version=v1.29.9
B. Upgrade Workers with nkp update nodepool aws ${NODEPOOL_NAME} --cluster-name=${CLUSTER_NAME} --kubernetes-version=v1.29.9
C. Upgrade Workers with nkp upgrade nodepool aws ${NODEPOOL_NAME} --cluster-name=${CLUSTER_NAME} --kubernetes-version=v1.29.9
D. Upgrade Control Planes with nkp update controlplane aws --cluster-name=${CLUSTER_NAME} --ami AMI_ID --kubernetes-version=v1.29.9

Answer: C,D

NEW QUESTION # 114
After a finished project, three Kubernetes clusters within a workspace were deleted, so the workspace is empty. Now a Platform Engineer needs to delete the workspace. How should the engineer delete the workspace in NKP?

A. Run kubectl delete workspace <workspace-name>
B. Run kubectl delete workspace <workspace_name>
C. Ask a workspace user to delete the workspace. The user has the Delete option in their workspace home page.
D. From NKP UI, on top menu bar select Global, then select Workspaces in the menu, select the three-dot button for the workspace to delete, and then click Delete.

Answer: D

NEW QUESTION # 115
......

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