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Nutanix NCP-CN Exam Syllabus Topics:

Topic	Details
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	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 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	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.

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q47-Q52):

NEW QUESTION # 47
A company has different Kubernetes clusters for different business units. Every business unit has separate Kubernetes clusters for production and development because the software deployed in production is different than development. Now, all production clusters for all business units are standardized and all clusters for development are standardized as well.
The company recently acquired NKP Ultimate licenses for all Kubernetes clusters.
How can the company control the standard configuration for both environments in all clusters (production and development)?

A. Configure a production workspace and a development workspace and attach each Kubernetes cluster to the corresponding workspace.
B. Install Flux in every Kubernetes cluster with the appropriate kustomize.yaml, with nkp install flux -- kustomize=kustomize.yaml --kubeconfig=<cluster>.conf
C. Install Flux in every Kubernetes cluster and configure the appropriate kustomize.yaml in every Kubernetes cluster.
D. Create new Kubernetes clusters for production and development with NKP for every business unit.

Answer: A

Explanation:
The NKPA 6.10 documentation confirms that workspaces in NKP are used to logically group and standardize configurations across multiple clusters. By creating a production workspace and a development workspace, the organization can control and enforce standardized configurations and policies for all relevant clusters.
Exact extract:
"Workspaces provide logical separation for resources, configuration, and policy management across multiple clusters, enabling standardized operations." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Workspaces and Multi-Cluster Management" NCP-CN 6.10 Study Guide - "Standardizing Configurations Across Clusters"
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NEW QUESTION # 48
A Cloud Engineer is deploying an NKP cluster into an AWS environment. By default, when deploying NKP on AWS infrastructure, it generates the supporting infrastructure necessary for the cluster (VPC, subnets, ELBs). However, the AWS team has insisted that the NKP cluster be deployed on existing AWS infrastructure. How can the engineer meet this requirement?

A. When using the nkp adopt infrastructure aws command set, include the valid parameters with the pre-existing VPC, subnets, and ELB to use. Deploy the NKP cluster using the nkp create cluster aws command set.
B. When using the nkp create cluster aws command set, include the valid parameters with the pre-existing VPC, subnets, and ELB to use.
C. Create an overrides file with the pre-existing VPC, subnets, and ELB to use. When using the nkp create cluster aws command set, include the overrides parameter with the overrides file that was created.
D. Create an NKP infrastructure provider for AWS in the NKP UI. When deploying the NKP cluster through the UI, specify the pre-existing VPC, subnets, and ELB to use in the appropriate fields of the 'Infrastructure' section of the Create Cluster page.

Answer: C

NEW QUESTION # 49
A company has been modernizing on cloud-native platforms for the past few years and has been running some small consumer support utilities on their production NKP cluster. After a thorough testing and QA cycle with simulated workloads on a development cluster, the company is ready to bring their online retail application into the fold. While they have sufficient system resources to scale the NKP cluster properly from a performance standpoint, they also want to ensure they properly scale their monitoring stack's resource settings to retain a sufficient amount of data to see how overall system resource utilization trends for the NKP cluster over several months' time with the added workloads. Which NKP Platform Application component should the company be most concerned with adjusting, and how should their Platform Engineer adjust it?

A. Adjust the number of replicas for the Fluent Bit deployment, as well as increase the amount of storage available for use by the NKP cluster.
B. Adjust the number of replicas for the Prometheus deployment, as well as increase the amount of storage available for use by the NKP cluster.
C. Adjust the resource settings for Fluent Bit by increasing its container resource limits and memory settings, as well as its storage.
D. Adjust the resource settings for Prometheus by increasing its container resource limits and memory settings, as well as its storage.

Answer: D

NEW QUESTION # 50

A Platform Engineer is preparing to deploy a new NKP cluster on Nutanix infrastructure into an air-gapped environment. As part of the preparation process, the engineer is supplying a Ubuntu 22.04 instance to be used for NKP cluster nodes that conforms to the corporate OS image hardening standards. However, during the NIB preparation process, the error shown in the exhibit is received.
What is the likely reason the NIB preparation attempt has failed?

A. The engineer has not created the OS package bundle prior to the NIB-prep attempt.
B. The engineer has supplied the inartifacts directory for the OS package bundle in the NIB-prep command.
C. The engineer has not seeded the local registry with the required NKP images prior to the NIB-prep attempt.
D. Ubuntu 22.04 is not a supported OS for NKP nodes on Nutanix infrastructure, therefore the necessary OS package bundle does not exist.

Answer: A

Explanation:
The error states:
lua
Copy
Could not find or access '/home/.../nkp-image-builder-.../playbooks/.../artifacts/1.29.6_ubuntu_22.04_x86_64.
tar.gz'
This indicates that the OS package bundle (artifacts/1.29.6_ubuntu_22.04_x86_64.tar.gz) has not been created or is missing. Creating the OS package bundle is a prerequisite step in the NIB workflow.
Key Reference:
* Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Creating OS Package Bundles for NIB"
* NCP-CN 6.10 Study Guide - "NIB Preparation Prerequisites"
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NEW QUESTION # 51
A development Kubernetes cluster deployed with NKP is having performance issues. The Cloud Engineer commented that worker VMs are consuming a lot of CPU and RAM. The Platform Engineer took a look at the CPU and RAM statistics with Grafana and confirmed that the worker VMs are running out of CPU and memory. The Kubernetes cluster has 4 workers with 8 vCPUs and 32 GB RAM. What could the Platform Engineer do?

A. Ask developers to lower the number of application replicas.
B. Add one more worker with nkp scale nodepools ${NODEPOOL_NAME} --replicas=5 --cluster-name=${CLUSTER_NAME} -n ${CLUSTER_WORKSPACE}
C. Call tech support to take a look at the infrastructure and investigate.
D. Add more CPU and memory to workers with nkp scale --cpu 16 --memory 64 --cluster-name ${CLUSTER_NAME}

Answer: B

NEW QUESTION # 52
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