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[Hardware] New NCP-CN Test Materials | NCP-CN Books PDF

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【Hardware】 New NCP-CN Test Materials | NCP-CN Books PDF

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Nutanix NCP-CN Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 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
  • 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.

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q30-Q35):NEW QUESTION # 30

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:
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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
    $NODEPOOL_NAME
  • B. Add the GPU Operator to the new workers:
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    cat <<EOF | kubectl apply -f -
    kind: Installation
    apps:
    nvidia-gpu-operator:
    enabled: true
    values: |
    toolkit:
    nodepool: md-0
    EOF
  • C. Create a GPU-compatible OS Image with:
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    nkp create image nutanix --gpu
    --gpu-name=${GPU_NAME}
    --cluster=${NUTANIX_CLUSTER_NAME}
    --endpoint=${NUTANIX_PC_ENDPOINT}
    --subnet=${NUTANIX_SUBNET} ubuntu-22.04
  • D. Configure Multi-Instance GPU (MIG):
    text
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    kubectl label nodes ${NODE} nvidia.com/mig.config=all-1g.6gb -overwrite
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of Nutanix Kubernetes Platform Administration (NKPA) Course:
The NKPA course outlines the process of adding GPU-enabled worker nodes to an existing NKP-managed Kubernetes cluster, such as the production cluster in this scenario. The first step in this process is to ensure that a GPU-compatible OS image is available for the new worker nodes, as GPU support requires specific drivers and configurations (e.g., NVIDIA drivers) that are not included in standard OS images.
The correct first step is to create a GPU-compatible OS image using the command:
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nkp create image nutanix --gpu
--gpu-name=${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 # 31
A Platform Engineer has been tasked with backing up and restoring a production environment to ensure persistent data is available during a disaster at a primary site. What is recommended for backup and restore production use cases?
  • A. External Storage Class
  • B. S3-compatible API
  • C. Protection Domain
  • D. Rook Ceph
Answer: B

NEW QUESTION # 32

A Platform Engineer is preparing to deploy an NKP cluster in an air-gapped environment. The NKP cluster will be deployed on Nutanix infrastructure using the CAPI Nutanix provisioner (CAPX). The engineer has decided to create the bootstrap cluster first, then NIB-prep an Ubuntu 22.04 OS image that the Linux engineering team has provided in Prism Central. After that, the engineer will deploy the NKP cluster. However, during the first step of creating a bootstrap cluster, the engineer received the error shown in the exhibit. What could be the reason?
  • A. The nkp create bootstrap command needs to be executed as root.
  • B. The Ubuntu 22.04 OS image needs to be NIB-prepped prior to creating the bootstrap.
  • C. The CAPI provisioning method needs to be specified as part of the command nkp create bootstrap nutanix.
  • D. The bootstrap cluster image needs to be loaded prior to creating the bootstrap cluster.
Answer: D

NEW QUESTION # 33
A Platform Engineer is deploying NKP into a highly secure vSphere environment. The NKP cluster will be air-gapped, and must also be FIPS compliant. The OS platform to be used for NKP cluster nodes is RHEL.
What must the engineer do to properly prep an OS image and have it be deployed as a FIPS compliant NKP cluster node?
  • A. Verify the OS itself has been placed in fips mode.When performing the NKP image build operation, be sure to include the offline fips override.When performing the NKP cluster deploy operation, be sure to include the FIPS version references for kubernetes and etcd.
  • B. Verify the OS itself has been placed in fips mode.When performing the NKP image build operation, be sure to include the offline fips and fips overrides.When performing the NKP cluster deploy operation, be sure to include the FIPS version references for kubernetes and etcd.
  • C. Verify the OS itself has been placed in fips mode.When performing the NKP cluster deploy operation, be sure to include the FIPS version references for kubernetes, kubectl and etcd.
  • D. Verify the OS itself has been placed in fips mode.When performing the NKP image build operation, be sure to include the offline fips and fips overrides.When performing the NKP cluster deploy operation, be sure to include the FIPS version references for kubernetes, kubectl and etcd.
Answer: B

NEW QUESTION # 34
A company has 30 Edge devices with lightweight Kubernetes, and developers need to push the application to every edge device. An NKP administrator has the NKP Ultimate license tier configured and has access to all kubeconfig files for the 30 edge devices. What is the most efficient way that the administrator can lifecycle manage the application deployments?
  • A. Create a script to automate the deployment to every edge device.
  • B. Create a new Workspace and attach the 30 edge devices to this workspace with Attach Cluster.
  • C. Ask the developers to delete the lightweight Kubernetes and deploy new Kubernetes clusters with NKP.
  • D. Create a GitHub configuration, deploy it to the 30 edge devices, and configure them to use a GitHub account.
Answer: B

NEW QUESTION # 35
......
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