BONUS!!! Download part of PDFDumps NCP-CN dumps for free: https://drive.google.com/open?id=1r5KmUWKWu2uRZlgcjwO2jih8ploMMwVW
Are you still worried about your coming NCP-CN exam and have no idea what to do? Are you too busy to study with all the books and other broad exam materials which will take you a long time to prapare for your exam? You can just choose to buy our NCP-CN Exam Questions which have settle all these problems for you. And our pass rate of the NCP-CN study materials is high as 98% to 100%. Hence they are your real ally for establishing your career pathway and get your potential attested.
| Certification Vendor: | Nutanix |
|---|---|
| Exam Name: | Nutanix Certified Professional - Cloud Native (NCP-CN v6.10) |
| Exam Number: | NCP-CN |
| Exam Format: | Multiple Choice |
| Related Certifications: | Nutanix Certified Professional - Cloud Native (NCP-CN 6) |
| Exam Price: | $199 USD |
| Passing Score: | 3000 (on a scale of 1000-6000) |
| Available Languages: | Japanese, English |
| Certificate Validity Period: | 3 years (for certifications earned on or after August 1, 2025) |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 75 |
| Sample Questions: | Nutanix NCP-CN Sample Questions |
| Exam Way: | Online (Remote Proctored) via PSI or at a PSI Test Center |
| Pre Condition: | Candidates should have at least 6-12 months of experience building and managing Kubernetes clusters, 6-12 months of working with Linux, and 6 months of experience with a Kubernetes platform. Knowledge equivalent to a Certified Kubernetes Administrator (CKA) is recommended. There are no strict prerequisites, but taking the Nutanix Kubernetes Platform Administration (NKPA) course is highly recommended. |
| Official Syllabus URL: | https://www.nutanix.com/support-services/training-certification/certifications/certification-details-nutanix-certified-professional-cloud-native-v6-10 |
The simplified information in NCP-CN certification dumps makes your exam preparation immensely easier for you. All the NCP-CN exam questions answers are self-explanatory and provide the best relevant and authentic information checked and approved by the industry experts. No key point of the NCP-CN Exam is left unaddressed. The complex portions have been explained with the help of real life based examples. In case, you don't follow and NCP-CN dumps, you can contact our customer’s service that is operational 24/7 for your convenience.
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
NEW QUESTION # 76 
An administrator is provisioning an NKP cluster. After the VM creation task, the error shown in the exhibit is produced.
What could be the reason?
Answer: D
NEW QUESTION # 77
After a finished project, three Kubernetes clusters within a workspace were deleted, so the workspace is empty. Now a Platform Engineer needs to delete the workspace. How should the engineer delete the workspace in NKP?
Answer: D
Explanation:
The NKPA course explains that deleting a workspace in NKP, especially after all associated clusters have been removed, is a straightforward process through the NKP UI. The correct method is to navigate to the Global view in the top menu bar, select Workspaces from the menu, locate the target workspace, click the three-dot button next to it, and select Delete. This action removes the workspace and its associated configurations from NKP, ensuring a clean environment after the project is finished.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "To delete an empty workspace in NKP, go to the Global view in the UI, select Workspaces, click the three-dot menu for the workspace, and choose Delete." The course confirms that a workspace must be empty (no clusters or resources) before it can be deleted, which aligns with the scenario where the three clusters have already been removed.
Incorrect Options:
* A & B. Run kubectl delete workspace: Both options are syntactically similar, but kubectl delete workspace is not a valid command in NKP. Workspaces are managed through the NKP UI or CLI (nkp), not directly via kubectl.
* D. Ask a workspace user to delete the workspace: Workspace users typically lack permissions to delete workspaces; this action is reserved for administrators via the Global view.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Workspace Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com
NEW QUESTION # 78
Refer to Exhibit:
Using an NKP Ultimate license, a Platform Engineer has created a new workspace and needs to create a new Kubernetes cluster within this workspace. However, the engineer discovers that the Create Cluster option is grayed out, as shown in the exhibit. How should the engineer resolve this issue?
Answer: B
Explanation:
The exhibit shows the NKP UI with the "Create Cluster" option grayed out in a new workspace, indicating that a prerequisite for cluster creation is missing. The NKPA course explains that to create a new Kubernetes cluster in a workspace, an Infrastructure Provider must be configured for that workspace. An Infrastructure Provider defines the underlying infrastructure (e.g., Nutanix AHV, AWS, vSphere) where the cluster will be provisioned, and without it, the Create Cluster option remains disabled in the UI.
The NKP Ultimate license supports creating clusters across various infrastructures, but the workspace must be associated with an Infrastructure Provider to enable cluster creation. The Nutanix Cloud Native (NCP-CN)
6.10 Study Guide states: "Before creating a cluster in a new workspace, ensure an Infrastructure Provider is configured for the workspace in the NKP UI; otherwise, the Create Cluster option will be grayed out." The engineer should navigate to the Infrastructure Providers section in the NKP UI (typically under the Global or Administration view), create a provider (e.g., for Nutanix AHV, AWS, or vSphere), and associate it with the workspace. Once this is done, the Create Cluster option will become available.
Incorrect Options:
* A. Create the cluster only using YAML and not the GUI: The issue is not with the GUI itself but with the missing Infrastructure Provider, which affects both GUI and CLI cluster creation. YAML alone does not resolve this.
* B. Attach existing clusters instead of creating a new cluster: Attaching existing clusters is an alternative but does not address the requirement to create a new cluster.
* D. Ensure NKP is upgraded to a minimum version of 2.12: The NKP Ultimate license implies a recent version, and the course does not indicate that version 2.12 is specifically required for this functionality. The issue is configuration-related, not version-related.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Cluster Creation Prerequisites.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Workspace Configuration.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com
NEW QUESTION # 79
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: A
NEW QUESTION # 80 
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:
text
CollapseWrap
Copy
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 # 81
......
NCP-CN Actual Test: https://www.pdfdumps.com/NCP-CN-valid-exam.html
BTW, DOWNLOAD part of PDFDumps NCP-CN dumps from Cloud Storage: https://drive.google.com/open?id=1r5KmUWKWu2uRZlgcjwO2jih8ploMMwVW