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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.

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q61-Q66):

NEW QUESTION # 61

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:textCollapseWrapCopycat <<EOF | kubectl apply -f -kind: Installationapps:nvidia-gpu-operator:enabled: truevalues: |toolkit:nodepool: md-0EOF
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. 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. Configure Multi-Instance GPU (MIG):textCollapseWrapCopykubectl label nodes ${NODE} nvidia.com/mig.config=all-1g.6gb -overwrite

Answer: B

NEW QUESTION # 62

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

Answer: C

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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Copy
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 # 63
A company uses an Artifactory private registry for development. The NKP deployment must use this private registry since the Security Administrator has the firewall configured to reject connections to public container registries. The first task is to push the NKP bundle to this private registry.
What options should be used to push the NKP bundle to this private registry?

A. --mirror-url, --mirror-username and --mirror-password
B. --registry-url, --registry-username and --registry-password
C. --to-registry, --to-registry-username and --to-registry-password
D. --registry-mirror-url, --registry-mirror-username and --registry-mirror-password

Answer: C

NEW QUESTION # 64
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 Starter
B. NKP UI
C. NKP Ultimate
D. NKP Pro

Answer: C

Explanation:
The NKPA course specifies that air-gapped deployments and centralized fleet management of multiple clusters are advanced features of NKP, requiring the NKP Ultimate license tier. The Ultimate tier includes support for air-gapped environments (via Air-Gapped Bundles) and fleet management capabilities, such as attaching and managing multiple clusters under a single management plane, which is critical for the national defense company's scenario.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "The NKP Ultimate license tier is required for air-gapped deployments and centralized management of multiple Kubernetes clusters, providing the necessary tools for secure, isolated environments." This ensures the company can deploy and manage their three clusters in an air-gapped setup while maintaining strict data security.
Incorrect Options:
* A. NKP Starter: The Starter tier lacks air-gapped and fleet management features.
* C. NKP Pro: The Pro tier may support some advanced features but not air-gapped deployments or full fleet management.
* D. NKP UI: This is not a license tier; it's a UI component of NKP.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Licensing and Fleet Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Air-Gapped Deployments.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com

NEW QUESTION # 65

A Platform Engineer is trying to create a new NKP cluster and is getting the error shown in the exhibit.
What is the most likely cause of this error?

A. Inpermissions to the NKP binary
B. A docker compatible runtime is not running
C. Informatting in the Ansible playbook
D. An inHelm chart repo was referenced

Answer: B

NEW QUESTION # 66
......

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