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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 (Q43-Q48):

NEW QUESTION # 43

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. Configure Multi-Instance GPU (MIG):
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kubectl label nodes ${NODE} nvidia.com/mig.config=all-1g.6gb -overwrite
B. 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 \
$NODEPOOL_NAME
C. Add the GPU Operator to the new workers:
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cat <<EOF | kubectl apply -f -
kind: Installation
apps:
nvidia-gpu-operator:
enabled: true
values: |
toolkit:
nodepool: md-0
EOF
D. Create a GPU-compatible OS Image with:
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nkp create image nutanix --gpu \
--gpu-name=${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:
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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 # 44
A technology company has decided to migrate its infrastructure to NKP to improve the scalability and management of its applications. After a successful initial implementation, the operations team faces a new challenge of validating the HelmReleases to ensure that all applications are running correctly and avoid problems in production. Which command should the company execute to know the right status of their HelmReleases?

A. kubectl edit helmreleases -n ${PROJECT_NAMESPACE}
B. kubectl get helmreleases -n ${PROJECT_NAMESPACE}
C. kubectl get namespaces
D. kubectl apply -f fluent-bit-overrides.yaml

Answer: B

Explanation:
NKP uses Helm and Flux for application deployment, where applications are managed as HelmReleases, a custom resource that defines Helm chart deployments. The NKPA course explains that to validate the status of HelmReleases, administrators can use the kubectl command to query these resources. The correct command is kubectl get helmreleases -n ${PROJECT_NAMESPACE}, which lists all HelmReleases in the specified project namespace, showing their status (e.g., Ready, Failed) and other details like chart version and reconciliation status.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "To check the status of HelmReleases in NKP, use kubectl get helmreleases -n <namespace> to view the current state of application deployments managed by Flux." This command helps the operations team verify that applications are running correctly and identify any issues in production.
Incorrect Options:
* A. kubectl get namespaces: This lists namespaces, not HelmReleases or their status.
* C. kubectl edit helmreleases -n ${PROJECT_NAMESPACE}: This edits HelmRelease resources, not displays their status.
* D. kubectl apply -f fluent-bit-overrides.yaml: This applies a configuration for Fluent Bit, unrelated to HelmRelease status.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Application Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com Flux Documentation: https://fluxcd.io/docs/components/helm

NEW QUESTION # 45
A Platform Engineer is deploying an NKP cluster within an air-gapped AWS environment. However, after an infrastructure planning session with the network team, it's been determined that the default CIDR block range that is used by pods on NKP clusters is already in use in their environment.
How can the engineer ensure there are no collisions between NKP pod traffic and the existing network using that subnet range?

A. Create the NKP cluster's manifest using the nkp create cluster command set and include the pod CIDR block range parameter when generating the cluster manifest.Deploy the NKP cluster manifest.
B. Because the environment is air-gapped, there will be no network traffic collision concerns and no adjustment needs to be made to the pod network CIDR block range.
C. Create an NKP infrastructure provider for AWS in the NKP UI.Select the Advanced Options button from the Network section of the Create Cluster page and specify a unique CIDR block range within the pod network field.
D. Create an NKP infrastructure provider for AWS in the NKP UI.When deploying the NKP cluster through the UI, specify a unique CIDR block range for the pod network field in the Network section of the Create Cluster page.

Answer: A

NEW QUESTION # 46
A Platform Engineer is attaching existing Kubernetes clusters to NKP, but some of them have network restrictions, so there is a need to use Secure Tunnel. The Platform Engineer needs to ask the Security Engineer to modify the firewall rules.
What must the firewall rules allow on the attached cluster network?

A. Secured LDAP (TCP/636)
B. HTTPS (TCP/443)
C. iSCSI (TCP/860 & 3260)
D. NTP Service (UDP/123)

Answer: B

Explanation:
The Secure Tunnel feature in NKP relies on HTTPS (TCP port 443) to establish secure, encrypted connections between the attached cluster and the management cluster, enabling fleet management even in restricted network environments.
Exact extract:
"Secure Tunnel uses TCP/443 (HTTPS) for establishing a secure connection between the attached cluster and NKP." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Secure Tunnel for Restricted Clusters" NCP-CN 6.10 Study Guide - "Firewall Rules for Secure Tunnel Connectivity"
=======

NEW QUESTION # 47
Refer to the exhibits.
A Cloud Administrator had provisioned a Kubernetes cluster named demo that is no longer actively being used. A Quick review from the Systems Engineer confirms that the following VMs are part of the demo Kubernetes cluster

How should the demo cluster be properly deleted?

A. Run acli vm.delete demo* from a CVM.
B. Run nkp delete cluster -c demo -n kommander-default-workspace
C. Run kubectl config delete-cluster demo -n kommander-default-workspace and delete the VMs.
D. Delete all the VMs and inform of the results.

Answer: B

NEW QUESTION # 48
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