NCP-CNテストサンプル問題 & NCP-CN専門知識訓練

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Nutanix NCP-CN Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Manage Building an NKP Cluster28%- Apply and manage cluster licenses
- Customize and deploy NKP clusters
- Customize and deploy Kommander management platform
Topic 2: Perform Day 2 Operations30%- Perform lifecycle management: upgrades, updates, maintenance
- Implement backup and recovery procedures
- Configure cluster autoscaling
- Monitor cluster performance and health
- Set up logging and monitoring systems
- Configure authentication and authorization
Topic 3: Prepare the Environment for an NKP Deployment22%- Gather deployment configuration information
- Prepare a bastion host
- Determine license tiers (Community, Standard, Enterprise)
- Create a bootstrap cluster
- Build machine images or prepare target nodes
- Seed a private container registry
Topic 4: Conduct NKP Fleet Management20%- Deploy workload clusters into workspaces
- Configure workspaces for cluster organization
- Attach, detach, or remove clusters from workspaces
- Deploy and manage platform applications
- Configure projects for resource segmentation

>> NCP-CNテストサンプル問題 <<

更新するNCP-CN|高品質なNCP-CNテストサンプル問題試験|試験の準備方法Nutanix Certified Professional - Cloud Native v6.10専門知識訓練

CertJukenは、効果的な勤勉さを最高の報酬に変えることができる素晴らしい学習プラットフォームです。 Nutanix長年の勤勉な作業により、当社の専門家は頻繁にテストされた知識を参考のためにNCP-CN試験資料に集めました。 したがって、私たちの練習教材は彼らの努力の勝利です。 NCP-CN試験の資料に頼ることで、以前に想像した以上の成果を確実に得ることができます。 NCP-CN練習教材を選択したお客様から収集した明確なデータがあり、Nutanix Certified Professional - Cloud Native v6.10合格率は98〜100%です。

Nutanix Certified Professional - Cloud Native v6.10 認定 NCP-CN 試験問題 (Q35-Q40):

質問 # 35
Which NKP tier is required for the FIPS Compliant Build feature?

正解:D

解説:
According to the NKPA 6.10 documentation, the FIPS Compliant Build feature is exclusively available for Enterprise tier licensing. This ensures compliance with NIST security standards and provides hardened cryptographic capabilities throughout the Kubernetes cluster stack.
Exact extract from documentation:
"The FIPS-compliant build feature is included in the NKP Enterprise tier, enabling deployments in environments that require strict security compliance." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Licensing and Feature Tiers" NCP-CN 6.10 Study Guide - "FIPS Compliance in Enterprise Tier"
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質問 # 36
There is a private registry for the NKP deployment and the company has an NKP Ultimate license. A Platform Engineer is using the Podman tool and is already logged in. Now, the engineer needs to send the private registry with the NKP Catalog Applications.
What command should the engineer use?

正解:A


質問 # 37

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?

正解:C

解説:
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


質問 # 38
A company was using a test application called temp-shop developed in the temp-ecommerce NKP Starter cluster. Now, the cluster has just been taking up valuable resources that could be used for other projects, so the development team has decided to remove it.
Before proceeding, they verified that they had the cluster configuration file temp-ecommerce.conf.
What command should the development team execute to delete the cluster with its nodes and application?

正解:B


質問 # 39

After creating the project, what should the administrator configure in order for the new software releases to automatically deploy to both environments?

正解:B


質問 # 40
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