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NEW QUESTION # 12 
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: A
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 # 13
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?
Answer: D
Explanation:
The NKPA course emphasizes that NKP's fleet management capabilities allow administrators to manage multiple Kubernetes clusters, including lightweight clusters on edge devices, by attaching them to an NKP workspace. With the NKP Ultimate license tier, the administrator has access to advanced fleet management features, including GitOps-based application deployment across attached clusters.
The most efficient way to lifecycle manage application deployments across the 30 edge devices is to create a new workspace and attach the 30 edge devices to this workspace using the Attach Cluster functionality (Option D). Once attached, NKP can use GitOps (via Flux) to push applications to all clusters in the workspace simultaneously, ensuring consistent deployment and lifecycle management. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "For managing edge devices with lightweight Kubernetes, attach the clusters to an NKP workspace using the Attach Cluster feature, enabling centralized application deployment and lifecycle management via GitOps." The administrator can use the kubeconfig files to attach each cluster via the NKP UI or CLI (e.g., nkp attach cluster).
Incorrect Options:
* A. Create a GitHub configuration for each device: This is manual and inefficient compared to NKP's centralized GitOps management.
* B. Create a script to automate deployment: Scripting is error-prone and lacks NKP's built-in fleet management capabilities.
* C. Delete lightweight Kubernetes and deploy new clusters: This is unnecessary, as NKP can manage existing clusters, including lightweight ones.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Fleet Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Attaching Clusters.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com
NEW QUESTION # 14
A Platform Engineer is getting started with NKP and has created a bastion host with all needed prerequisites.
How should the engineer install Kommander?
Answer: D
Explanation:
As per the NKPA 6.10 documentation, the standard and supported approach for installing Kommander on an NKP cluster is using the NKP CLI. The CLI provides commands for deploying Kommander and associated platform components as part of the cluster lifecycle management workflow.
Key Reference:
"The recommended approach to deploy Kommander is by using the nkp CLI, which ensures compatibility and streamlined installation with the rest of the Nutanix Kubernetes Platform stack." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Installing Kommander with NKP CLI" NCP-CN 6.10 Study Guide - "Kommander Installation and Management"
NEW QUESTION # 15
A Cloud Engineer is deploying an NKP management cluster and plans to deploy multiple NKP workload clusters from it. The management cluster will be on Nutanix infrastructure, but the NKP workload clusters may be deployed in multiple provisioning environments, such as:
* Nutanix
* AWS
* AzureWhen the engineer deploys an NKP workload cluster in AWS, which two default behaviors will be performed by NKP on this newly-deployed cluster? (Choose two.)
Answer: B,C
Explanation:
The NKPA course outlines the default behaviors of NKP when deploying workload clusters within a workspace, regardless of the provisioning environment (e.g., AWS, Nutanix, Azure). When a workload cluster is deployed in AWS, NKP ensures consistency across the workspace by applying the following default behaviors:
* The NKP workload cluster will receive all of the GitOps sources that have been assigned to the NKP workspace (Option A): NKP uses GitOps with Flux to manage cluster configurations and applications. The course explains that GitOps sources (e.g., Git repositories) assigned to a workspace are automatically applied to all clusters in that workspace, ensuring consistent configuration and application deployment. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "New workload clusters inherit all GitOps sources configured for the workspace, enabling Flux to synchronize configurations from the specified repositories."
* The NKP workload cluster will be deployed all of the applications that have been enabled on this NKP workspace (Option D): NKP Platform Applications (e.g., Prometheus, Rook Ceph) enabled in the workspace are automatically deployed to new workload clusters. The NKPA course notes: "When a workload cluster is created, NKP deploys all platform applications enabled in the workspace to ensure consistent functionality across clusters." Incorrect Options:
* B. The NKP workload cluster will receive all of the NKP RBAC policy: RBAC policies are defined at the workspace or project level and applied to users or groups, not automatically to clusters. Clusters inherit RBAC through user access, not as a default deployment behavior.
* C. The NKP workload cluster will also be assigned to all of the NKP projects: Clusters are assigned to specific projects manually, not automatically to all projects in a workspace.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Workload Cluster Deployment.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Workspace Management.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com
NEW QUESTION # 16
A Kubernetes administrator has been tasked with deploying a new cluster to AWS. The administrator has received the following requirements for this deployment:
Region us-east-1
AMI rhel8.6What is a requirement for deploying a new cluster in AWS?
Answer: C
NEW QUESTION # 17
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