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Nutanix NCP-CN Exam Overview:

Certification Vendor:Nutanix
Exam Name:Nutanix Certified Professional - Cloud Native v6.10
Exam Number:NCP-CN v6.10
Certificate Validity Period:2 years
Available Languages:English
Exam Duration:120 minutes
Exam Price:USD 199 (may vary by region)
Exam Format:Multiple Choice, Multiple Response, Performance-Based Labs, Drag and Drop
Passing Score:300 (scaled score)
Real Exam Qty:Approximately 75
Related Certifications:Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI)
Nutanix Certified Associate (NCA)
Recommended Training:Nutanix Certified Professional - Cloud Native (NCP-CN) Training
Nutanix University Kubernetes Courses
Exam Registration:Nutanix Training & Certification Portal
Sample Questions:Nutanix NCP-CN Sample Questions
Exam Way:Online proctored exam and testing center options may be available depending on region
Pre Condition:Recommended: Basic Kubernetes knowledge and familiarity with Nutanix infrastructure. No strict prerequisites, but NCA or equivalent experience is suggested.
Official Syllabus URL:https://www.nutanix.com/training-certification

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Nutanix NCP-CN Exam Syllabus Topics:

TopicDetails
Topic 1
  • Prepare the Environment for an NKP Deployment: This section of the exam measures the skills of infrastructure engineers and cloud administrators and covers the initial setup tasks needed for NKP deployment. Candidates must demonstrate the ability to seed a private container registry, create a bootstrap Kubernetes cluster, and determine license tiers suitable for clusters. They also need to prepare a bastion host for secure access, build machine images or prepare nodes for deployment, and gather all necessary information to build a cluster on the target cloud or on-premises provider.
Topic 2
  • Manage Building an NKP Cluster: This section evaluates the skills of Kubernetes administrators and platform engineers in customizing and deploying NKP clusters. Candidates must show proficiency in tailoring cluster configurations to meet specific requirements and deploying Kommander, the management platform, while applying the appropriate licenses to enable cluster features and management capabilities.
Topic 3
  • Perform Day 2 Operations: This part assesses the expertise of site reliability engineers and cluster operators in ongoing cluster management tasks after deployment. It includes configuring authentication and authorization mechanisms, setting up logging systems, and implementing cluster backup and recovery procedures. Candidates also need to demonstrate skills in monitoring cluster performance and health, configuring autoscaling to handle workload changes, and performing lifecycle management functions such as upgrades and maintenance.
Topic 4
  • Conduct NKP Fleet Management: This section tests the abilities of platform administrators and cloud operations engineers in managing multiple clusters as a fleet. It focuses on configuring workspaces to organize clusters, deploying workload clusters within these workspaces, and attaching or detaching clusters as needed. Additionally, candidates must be able to configure projects for workload segmentation and manage platform applications that support the overall NKP environment.

Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q70-Q75):

NEW QUESTION # 70
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

Explanation:
As per the NKPA 6.10 documentation under "NKP Insights Prerequisites", one of the essential requirements for deploying NKP Insights is that cert-manager is installed and properly configured in the target workload cluster. Cert-manager provides the necessary certificates for secure communication and observability between the cluster components and the NKP Insights platform.
The documentation specifies:
"NKP Insights requires cert-manager to be installed on the target workload cluster. If cert-manager is not enabled, the cluster will be shown as unavailable (grayed out) for NKP Insights deployment." Without cert-manager, the Insights operator cannot validate or securely deploy its components, resulting in the cluster being unavailable for selection during the Insights enablement process.
Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Deploying NKP Insights" NCP-CN 6.10 Study Guide - "Cert-manager as a Prerequisite for NKP Insights"


NEW QUESTION # 71
A Platform Engineer is preparing an AWS instance using KIB for becoming an NKP cluster node. During the process, the source AMI is successfully cloned, and multiple preparation steps have occurred against the cloned AMI, such as gathering OS-release facts and uploading image bundles to it. However, the process encounters an error and ultimately fails. What is one troubleshooting step the engineer can perform that may help identify the root cause of the issue?

Answer: D


NEW QUESTION # 72
To keep an NKP cluster and applications healthy and drive productivity forward, a Platform Engineer needs to stay informed of all events occurring within the cluster. What component of kube-prometheus-stack will help the engineer to stay informed of these events in NKP?

Answer: D


NEW QUESTION # 73
When deploying an NKP cluster onto air-gapped, pre-provisioned servers, Konvoy Image Builder is utilized to prepare the servers to become NKP cluster nodes.
What does the konvoy-image upload command do as a part of this preparation process?

Answer: C


NEW QUESTION # 74

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 # 75
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