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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
Passing Score:300 (scaled score)
Exam Duration:120 minutes
Related Certifications:Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI)
Nutanix Certified Associate (NCA)
Real Exam Qty:Approximately 75
Exam Format:Multiple Response, Performance-Based Labs, Drag and Drop, Multiple Choice
Certificate Validity Period:2 years
Exam Price:USD 199 (may vary by region)
Available Languages:English
Recommended Training:Nutanix University Kubernetes Courses
Nutanix Certified Professional - Cloud Native (NCP-CN) Training
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
  • 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 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
  • 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.

Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q36-Q41):

NEW QUESTION # 36
A Platform Engineer needs to do an air-gapped installation of NKP. This environment needs to run without Internet access and be fully operational, including updates. Docker has been installed, and the NKP bundle exists on a bastion host. What is the first command that the engineer must run to begin the process?

Answer: B


NEW QUESTION # 37
A company is required by NIST to follow FIPS guidelines for compliance.
What is the first step for enabling FIPS in NKP?

Answer: C


NEW QUESTION # 38
A company has standardized on NKP for their Kubernetes platform and needs to deploy their first cluster with the following requirements:
* Dark site ready
* Custom Service CIDR Block
* Custom Pod CIDR Block
* Hosted on Nutanix AHV ClusterWhich tool would the administrator use to perform the deployment?

Answer: C

Explanation:
The NKPA course specifies that the NKP CLI is the primary tool for deploying NKP clusters with advanced configurations, such as those required for a dark site environment, custom Service and Pod CIDR blocks, and Nutanix AHV clusters. The NKP CLI (nkp) provides granular control over cluster creation, allowing administrators to specify custom networking parameters and air-gapped deployment settings via command- line flags or configuration files.
For a dark site deployment, the NKP CLI uses an Air-Gapped Bundle to provide all necessary dependencies.
Custom CIDR blocks are configured using flags like --service-cidr and --pod-cidr during the nkp create cluster command. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "The NKP CLI is used to deploy clusters with custom configurations, including dark site readiness and custom networking, on Nutanix AHV clusters." For example: nkp create cluster --air-gapped --service-cidr 10.96.0.0/12 --pod-cidr 192.168.0.0
/16 --infrastructure nutanix-ahv.
Incorrect Options:
* A. kubectl CLI: kubectl manages Kubernetes resources, not NKP cluster deployment.
* B. NKP GUI: The GUI supports basic deployments but lacks the flexibility for custom CIDR and dark site configurations.
* D. OCP CLI: OpenShift (OCP) is a separate platform, not used for NKP deployments.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Cluster Deployment.
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 # 39
A Kubernetes administrator needs to deploy a new Kubernetes cluster into a new workspace. This cluster requires a predictive analytics solution that detects current and future anomalies. Which option does the administrator need to deploy after the cluster is ready?

Answer: D


NEW QUESTION # 40

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: A

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 # 41
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