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Nutanix NCP-CN Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 4
  • 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.

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q29-Q34):

NEW QUESTION # 29

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: D

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 # 30
A Platform Engineer manages an NKP v2.12.x environment and is using NKP Image Builder (NIB) to create a custom image. Which two distributions are available for use by the engineer for this task? (Choose two.)

Answer: B,C

Explanation:
The NKPA course specifies that the Nutanix Image Builder (NIB), used for creating custom machine images for NKP cluster nodes, supports specific Linux distributions that are compatible with Nutanix infrastructure and Kubernetes requirements. For NKP v2.12.x, the supported distributions for NIB are Ubuntu and Rocky Linux, as these are tested and optimized for NKP deployments, ensuring stability and compatibility with Cluster API (CAPI) and Nutanix AHV.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "NKP Image Builder (NIB) supports Ubuntu and Rocky Linux as base distributions for creating custom images for NKP cluster nodes, ensuring compatibility with Kubernetes and Nutanix infrastructure." Ubuntu provides a widely-used, well-supported base with long-term support (LTS) versions, while Rocky Linux is a CentOS replacement that Nutanix has adopted for its reliability and enterprise focus, especially after CentOS 8's end-of-life in 2021.
Incorrect Options:
* B. Fedora: Fedora is not a supported distribution for NIB in NKP, as it is more suited for bleeding-edge development rather than production Kubernetes environments.
* D. CentOS: CentOS 8 reached end-of-life in December 2021, and Nutanix has shifted to Rocky Linux as its replacement for NKP image building. The course does not list CentOS as a supported option for NIB in NKP v2.12.x.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Image Building with NIB.
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 # 31
A Kubernetes administrator needs to ensure that the following requirements are met whenever a new workload cluster is deployed to a workspace:
Grafana Logging
Grafana Loki
Project LoggingHow would the administrator ensure that these components are deployed as part of a cluster deployment?

Answer: A


NEW QUESTION # 32
A Platform Engineer would like to install some NKP applications, but with a few modifications to the default configuration specs of some of the components. Additionally, Velero itself can be disabled, as the company already utilizes a different backup utility for Kubernetes.
Which procedure would the engineer utilize to accomplish these goals when deploying the applications?

Answer: C

Explanation:
The NKPA 6.10 documentation confirms that the proper method to customize application deployment (including disabling Velero) is by generating a configuration file using the nkp install kommander --init command. The file can then be modified to set custom specs and disable Velero, and finally deployed using the nkp install kommander command.
Exact extract:
"Generate a custom configuration file using --init, modify it for your specific environment (including disabling Velero), and deploy with the same nkp install kommander command." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Customizing Kommander Installation" NCP-CN 6.10 Study Guide - "Deploying and Customizing NKP Applications"
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NEW QUESTION # 33
A company has a new DevOps team that needs to be provided cloud native computing resources. This team will need to have access to multiple NKP clusters for development, testing and validation of an in-house application. However, they also need to be restricted to a specific namespace and a consistent level of access across the clusters within this namespace so that they do not adversely impact the environment of other user groups or the clusters themselves.
As a part of this consideration, the new team also needs to be limited to the amount of storage, CPU and memory they can consume on the clusters. A Platform Engineer has been tasked with providing the appropriate level of access to the team on these multiple NKP clusters.
How should the engineer best accomplish this task?

Answer: B


NEW QUESTION # 34
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