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NEW QUESTION # 65
Which NKP-supported infrastructure will not receive CAPI components when an NKP cluster is deployed to it?
Answer: D
NEW QUESTION # 66
An infrastructure team has configured a Backup Storage Location on an existing AWS bucket and created a backup named testbackup. What command can the team use to view the backup?
Answer: A
NEW QUESTION # 67 
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 # 68
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?
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"
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NEW QUESTION # 69
A Cloud Engineer is deploying an NKP Cluster in AWS. The environment is for testing purposes only, so the AWS team has requested it be deployed to use a minimal set of system resources to reduce cloud subscription fees. Which two parameters should be specified when initializing a Kommander installation, using the nkp install kommander command set? (Choose two.)
Answer: A,C
Explanation:
The NKPA course details the deployment of an NKP Management cluster on AWS using the nkp install kommander command, which installs the Kommander component responsible for fleet management. For a testing environment with minimal resource usage, the engineer can optimize the installation process by adjusting parameters that control timeouts and initialization settings, reducing overhead and ensuring the deployment completes efficiently on smaller infrastructure.
The two relevant parameters are:
* --wait-timeout (Option B): This parameter sets the maximum time the nkp install kommander command waits for the Kommander components to become ready. In a testing environment with minimal resources, components may take longer to start due to limited CPU and memory. Reducing the wait timeout (e.g., --wait-timeout=10m) ensures the command does not hang indefinitely, allowing the engineer to troubleshoot if needed. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "Use
--wait-timeout with nkp install kommander to adjust the waiting period for component readiness, useful in low-resource environments."
* --init (Option D): This parameter initializes the Kommander installation with default settings optimized for minimal resource usage, suitable for a testing environment. It ensures that Kommander deploys with a lightweight configuration, reducing the resource footprint (e.g., fewer replicas, lower resource requests). The NKPA course notes: "The --init flag with nkp install kommander sets up a minimal configuration for testing purposes, minimizing resource usage on AWS." Incorrect Options:
* A. --request-timeout: This parameter is not relevant to nkp install kommander. It is typically used for API request timeouts, not installation optimization.
* C. --yaml: This parameter would specify a custom YAML configuration file, but the question asks for minimal resource usage, which is better achieved with --init for default lightweight settings.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Deploying Kommander on AWS.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Building NKP Clusters.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com
NEW QUESTION # 70
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