NCP-CN Associate Level Exam | Dumps NCP-CN Guide

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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
  • 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 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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Dumps Nutanix NCP-CN Guide | Valid NCP-CN Test Questions

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q82-Q87):

NEW QUESTION # 82
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?

Answer: C

Explanation:
The NKPA course addresses performance issues in NKP clusters, such as high CPU and memory consumption on worker nodes, by recommending scaling options to distribute workloads more effectively.
The Kubernetes cluster in the scenario has 4 workers, each with 8 vCPUs and 32 GB RAM, and is running out of resources. The most effective solution is to add more workers to the cluster to increase overall capacity and balance the load, rather than modifying existing workers or reducing application replicas.
The correct action is to add one more worker using the command nkp scale nodepools
${NODEPOOL_NAME} --replicas=5 --cluster-name=${CLUSTER_NAME} -n
${CLUSTER_WORKSPACE} (Option D). This command scales the specified node pool to 5 replicas (from the current 4), adding one additional worker to the cluster. The new worker will have the same configuration (8 vCPUs, 32 GB RAM) as the existing workers, providing additional capacity to alleviate resource contention. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "To address performance issues due to resource exhaustion in an NKP cluster, scale out by adding workers using nkp scale nodepools
<nodepool-name> --replicas <count> --cluster-name <cluster-name> -n <workspace>." Incorrect Options:
* A. Call tech support to investigate: While support can help, the issue is clearly resource exhaustion, which can be resolved by scaling the cluster-a task the Platform Engineer can perform directly.
* B. Ask developers to lower application replicas: Reducing replicas may decrease resource usage but could impact application availability or performance, which is not ideal for a development cluster.
* C. Add more CPU and memory to workers with nkp scale --cpu 16 --memory 64: The nkp scale command does not support --cpu and --memory flags for resizing existing workers. Resizing VMs typically requires updating the node pool configuration and replacing nodes, which is more complex than adding new workers.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Cluster Scaling and Performance Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com


NEW QUESTION # 83

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

Answer: C


NEW QUESTION # 84
A development team decided to employ an efficient monitoring system with Grafana-logging, which was successfully implemented as can be seen in the following output:
AppDeployment "kommander-default-workspace/grafana-logging" created in namespace "kommander-default-workspace".
Which command did the team execute to complete this task?

Answer: A


NEW QUESTION # 85
An administrator has been trying to deploy an initial AHV-based NKP cluster in a dark site (no Internet connectivity) environment using the command shown in the question.
nkp create cluster nutanix \
--cluster-name=$CLUSTER_NAME \
--control-plane-prism-element-cluster=$PE_NAME \
--worker-prism-element-cluster=$PE_NAME \
--control-plane-subnets=$SUBNET_ASSOCIATED_WITH_PE \
--worker-subnets=$SUBNET_ASSOCIATED_WITH_PE \
--control-plane-endpoint-ip=$AVAILABLE_IP_FROM_SAME_SUBNET \
--csi-storage-container=$NAME_OF_YOUR_STORAGE_CONTAINER \
--endpoint=$PC_ENDPOINT_URL \
--control-plane-vm-image=$NAME_OF_OS_IMAGE_CREATED_BY_NKP_CLI \
--worker-vm-image=$NAME_OF_OS_IMAGE_CREATED_BY_NKP_CLI \
--registry-url=${REGISTRY_URL} \
--registry-mirror-username=${REGISTRY_USERNAME} \
--registry-mirror-password=${REGISTRY_PASSWORD} \
--kubernetes-service-load-balancer-ip-range $START_IP-$END_IP \
--self-managed
Which missing attribute needs to be added in order for the deployment?

Answer: C


NEW QUESTION # 86
By default, a full cluster backup is occurring on a daily basis on an NKP-managed cluster. However, the Victory Finance team has requested that their applications be backed up four times a day. The user group has been assigned to the victory-finance-apps NKP workspace, and the applications have been deployed to the Kubernetes namespace victory-finance.
What is the procedure for scheduling the team's application backups?

Answer: B


NEW QUESTION # 87
......

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