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NEW QUESTION # 26
A Platform Engineer manages an NKP v2.12.x environment and is using NKP Image Builder (NIB) to create a custom image. Which two distributions are available for use by the engineer for this task? (Choose two.)
Answer: A,B
Explanation:
The NKPA course specifies that the Nutanix Image Builder (NIB), used for creating custom machine images for NKP cluster nodes, supports specific Linux distributions that are compatible with Nutanix infrastructure and Kubernetes requirements. For NKP v2.12.x, the supported distributions for NIB are Ubuntu and Rocky Linux, as these are tested and optimized for NKP deployments, ensuring stability and compatibility with Cluster API (CAPI) and Nutanix AHV.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "NKP Image Builder (NIB) supports Ubuntu and Rocky Linux as base distributions for creating custom images for NKP cluster nodes, ensuring compatibility with Kubernetes and Nutanix infrastructure." Ubuntu provides a widely-used, well-supported base with long-term support (LTS) versions, while Rocky Linux is a CentOS replacement that Nutanix has adopted for its reliability and enterprise focus, especially after CentOS 8's end-of-life in 2021.
Incorrect Options:
* B. Fedora: Fedora is not a supported distribution for NIB in NKP, as it is more suited for bleeding-edge development rather than production Kubernetes environments.
* D. CentOS: CentOS 8 reached end-of-life in December 2021, and Nutanix has shifted to Rocky Linux as its replacement for NKP image building. The course does not list CentOS as a supported option for NIB in NKP v2.12.x.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Image Building with NIB.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on NKP Deployment Prerequisites.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com
NEW QUESTION # 27 
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?
Answer: B
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 # 28
A Platform Engineer is deploying an NKP workload cluster using the nkp create cluster vsphere command.
The cluster will be utilized by the company's code-green team and the engineer has already created a code- green NKP workspace on the NKP management cluster.
After issuing the deploy command, the engineer monitored the build using the nkp describe cluster command and confirmed it completed successfully. However, a few hours later, after logging into the NKP UI, the engineer checked the code-green NKP workspace and saw that the NKP workload cluster was not there.
What is the likely reason the NKP workload cluster is not in the code-green NKP workspace?
Answer: C
Explanation:
The NKPA 6.10 documentation clarifies that when creating a workload cluster using the nkp create cluster command, specifying the target workspace (namespace) is critical for properly associating the workload cluster with that workspace in the NKP UI. If the --namespace <workspace> parameter is omitted, the cluster is provisioned in the default workspace, not in the intended workspace (in this case, code-green).
Key documentation excerpt:
"If you do not specify the workspace (namespace) using the --namespace parameter when creating a cluster, the cluster will be created in the default workspace. It will not appear in custom workspaces until manually assigned." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Creating Workload Clusters" NCP-CN 6.10 Study Guide - "Namespace and Workspace Mapping for Workload Clusters"
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NEW QUESTION # 29
Prior to implementing NKP, a company had created a number of Kubernetes (K8s) clusters using kubeadm. While they are deploying new managed clusters via NKP, the company does not wish to migrate workloads from these pre-existing native K8s clusters over to new NKP clusters just yet.
What are the requirements to have these clusters attached to their NKP management cluster?
Answer: B
NEW QUESTION # 30
A Platform Engineer has deployed NKP and wants to utilize its OOB data storage feature.
What should the engineer enable to support backups within the NKP environment?
Answer: B
Explanation:
According to the NKPA 6.10 documentation, Rook Ceph is the recommended out-of-the-box storage solution integrated with NKP for persistent data storage, backups, and object storage within the Kubernetes environment.
Key Reference:
"Rook Ceph is integrated with NKP for providing persistent storage and backup support within the cluster." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Storage Architecture in NKP" NCP-CN 6.10 Study Guide - "Rook Ceph for OOB Storage"
NEW QUESTION # 31
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