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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
  • 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
  • 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
  • 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.

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q59-Q64):

NEW QUESTION # 59
A Cloud Engineer is deploying an NKP management cluster and plans to deploy multiple NKP workload clusters from it. The management cluster will be on Nutanix infrastructure, but the NKP workload clusters may be deployed in multiple provisioning environments, such as:
Nutanix
AWS
AzureWhen the engineer deploys an NKP workload cluster in AWS, which two default behaviors will be performed by NKP on this newly-deployed cluster? (Choose two.)

Answer: B,C


NEW QUESTION # 60
Which procedure should a Platform Engineer follow for setting up user authentication into an NKP cluster?

Answer: C

Explanation:
The NKPA course covers user authentication for NKP clusters as part of Day 2 operations, emphasizing integration with external identity providers (IdPs) to manage user access securely. NKP uses Dex, an OpenID Connect (OIDC) identity provider, to facilitate authentication by acting as a connector between the Kubernetes cluster and external IdPs, such as LDAP, SAML, or OAuth-based systems.
The course explains that to set up user authentication, a Platform Engineer must configure a Dex connector to the user base's identity provider. Dex integrates with the Kubernetes API server to enable OIDC-based authentication, allowing users to log in using their IdP credentials. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "NKP supports user authentication through Dex, which provides OIDC integration with external identity providers, enabling single sign-on (SSO) for cluster access." The process involves deploying Dex as a platform application, configuring the IdP connector (e.g., specifying client IDs, secrets, and endpoints), and updating the Kubernetes API server to use OIDC authentication.
Incorrect Options:
* A. Enable Gatekeeper and create a connector to the user base's identity provider: Gatekeeper is a Kubernetes policy engine used for enforcing admission control policies, not for authentication. The NKPA course does not associate Gatekeeper with user authentication.
* B. Disable native NKP authentication, enable Traefik, and create a connector to the user base's identity provider: Traefik is an ingress controller for managing external traffic, not authentication.
Disabling native authentication is unnecessary, as NKP supports OIDC alongside native methods. The NKPA course does not mention Traefik in the context of authentication.
* C. Create a MetalLB connector to the user base's identity provider: MetalLB is a load balancer for bare-metal Kubernetes clusters, not an authentication component. This option is irrelevant, as per the NKPA course.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on User Authentication and Authorization.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on NKP Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com Dex Documentation: https://dexidp.io


NEW QUESTION # 61
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,D


NEW QUESTION # 62
In an effort to control cloud cost consumption, auto-scale is configured to meet demands as needed.
What is the behavior for when nodes are scaled down?

Answer: D


NEW QUESTION # 63

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 # 64
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