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| Section | Objectives |
|---|---|
| Topic 1: Storage and Data Management | - Persistent volumes and storage classes on Nutanix - Container storage interfaces (CSI) |
| Topic 2: Kubernetes Fundamentals | - Pods, deployments, services, and namespaces - Kubernetes architecture and core components - Workload scheduling and scaling concepts |
| Topic 3: Nutanix Cloud Native Platform | - Cluster provisioning and lifecycle management - Nutanix Kubernetes Engine (NKE) / Karbon concepts |
| Topic 4: Networking and Service Exposure | - Container networking basics - Ingress, load balancing, and service discovery |
| Topic 5: Operations and Troubleshooting | - Monitoring and logging of Kubernetes clusters - Troubleshooting workloads and cluster issues |
| Topic 6: Security and Access Control | - RBAC and Kubernetes security model - Secrets, policies, and workload isolation |
>> New NCP-CN Test Objectives <<
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NEW QUESTION # 109 
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 # 110
An administrator has experienced issues with an NKP-managed workload cluster and has been tasked with deploying NKP Insights in order to:
Resolve common anomalies
Check security issues
Verify whether workloads follow best practicesUpon trying to enable NKP Insights, the cluster that needs to be chosen is grayed out.Which missing prerequisite should be enabled?
Answer: B
NEW QUESTION # 111
A Platform Engineer needs to utilize the Konvoy Image Builder for building a custom operating system image. This image will be used to deploy clusters on various platforms. The engineer has been tasked with creating an OS image compatible with Konvoy's requirements. In order to successfully build a compatible image using the Konvoy Image Builder, the engineer needs to ensure that a development environment meets the necessary prerequisites.
Which system is required to create a compatible OS image with the Konvoy Image Builder?
Answer: B
Explanation:
The Konvoy Image Builder requires a 64-bit Linux or MacOS environment (x86_64 architecture) to build and customize the OS images.
Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Konvoy Image Builder System Requirements" NCP-CN 6.10 Study Guide - "KIB Environment Prerequisites"
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NEW QUESTION # 112
A Platform Engineer has been tasked with setting up a secure and isolated environment for managing an NKP environment. The environment will have no access to the Internet but will be required to create additional NKP clusters in the future. The security team has recommended using a bastion host to achieve this goal.
What is the primary purpose of a bastion host in this scenario?
Answer: D
Explanation:
In an air-gapped NKP environment with no Internet access, a bastion host is a critical component for secure management. The NKPA course defines the primary purpose of a bastion host as providing a secure point for creating and operating NKP clusters. The bastion host acts as a jump server, allowing administrators to securely access the isolated environment, manage cluster deployments, and perform operations like cluster creation, scaling, and upgrades without exposing the environment to external threats.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "In a dark site NKP deployment, a bastion host serves as a secure entry point for administrators to create, manage, and operate NKP clusters, ensuring isolation from external networks." The bastion host is configured with SSH keys and tools like the NKP CLI to facilitate secure interactions with the cluster infrastructure.
Incorrect Options:
* A. To store and manage sensitive data: The bastion host is not a storage system; its role is access and management, not data storage.
* C. To serve as a load balancer: A bastion host does not perform load balancing; that role is handled by Kubernetes components like MetalLB or cloud-native load balancers.
* D. To act as a firewall: While a bastion host enhances security, it is not a firewall. Firewalls are separate components in the network architecture.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Dark Site Deployments.
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 # 113 
The Platform Engineer needs to expand an NKP Pro demo cluster due to workload capacity constraints. The demo cluster has 150 vCPUs available to it from a licensing standpoint. Each worker node has 8 vCPUs and each control plane node has 4 vCPUs.
Which two options are valid for expanding the demo cluster and remaining compliant with licensing? (Choose two.)
Answer: A,B
NEW QUESTION # 114
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