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[Hardware] 100% Pass Quiz High Hit-Rate Nutanix - Test NCP-CN Free

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【Hardware】 100% Pass Quiz High Hit-Rate Nutanix - Test NCP-CN Free

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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
  • 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 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
  • 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.

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q43-Q48):NEW QUESTION # 43
A company has decided to expand NKP to features that require higher product tiers, like fleet-management and additional infrastructure providers. The company has already obtained the necessary licensing. Which action is required when adding and activating a license from NKP Starter to a higher-tier product?
  • A. Regenerate the ACME-based certificate for NKP.
  • B. Ensure that worker nodes are sized appropriately.
  • C. Contact Nutanix Support.
  • D. Log out and log back in as a Global License Administrator.
Answer: D

NEW QUESTION # 44
A Cloud Engineer would like to configure an NKP cluster that is running in the cloud to dynamically expand and compact its resource capacity for running container workloads. This will help ensure efficient use of resources without impacting online retail transaction performance that is increasingly hitting unpredictable spikes and lulls.
Which autoscaling method does NKP use and how does it scale?
  • A. Cluster autoscaler and worker node replicas
  • B. Horizontal-Pod autoscaler and worker node replicas
  • C. Horizontal-Pod autoscaler and worker node CPU/memory sizing
  • D. Cluster autoscaler and worker node CPU/memory sizing
Answer: A

NEW QUESTION # 45
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?
  • A. NKP Insights
  • B. NKP AI Navigator
  • C. NCM Intelligent Ops
  • D. Nutanix Pulse
Answer: A
Explanation:
The NKPA course highlights that NKP Insights is the platform's integrated solution for observability and analytics, providing predictive analytics to detect current and future anomalies in Kubernetes clusters. NKP Insights leverages machine learning to analyze metrics, logs, and events, identifying performance issues and potential failures proactively. After deploying a new cluster, the administrator can enable NKP Insights as a platform application in the workspace to meet the predictive analytics requirement.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "NKP Insights provides predictive analytics and anomaly detection for Kubernetes clusters, enabling administrators to monitor and optimize cluster performance." This is deployed via the NKP UI or CLI by enabling the Insights application in the workspace.
Incorrect Options:
* B. NCM Intelligent Ops: Nutanix Cloud Manager (NCM) Intelligent Ops is for broader infrastructure management, not Kubernetes-specific analytics.
* C. Nutanix Pulse: Pulse is a telemetry service for Nutanix support, not for analytics.
* D. NKP AI Navigator: This is not a recognized NKP component in the NKPA documentation.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Observability and Insights.
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 # 46
A Platform Engineer is deploying an NKP workload cluster using the nkp create cluster vsphere command. The cluster will be utilized by the company's code-green team and the engineer has already created a code-green NKP workspace on the NKP management cluster.
After issuing the deploy command, the engineer monitored the build using the nkp describe cluster command and confirmed it completed successfully. However, a few hours later, after logging into the NKP UI, the engineer checked the code-green NKP workspace and saw that the NKP workload cluster was not there.
What is the likely reason the NKP workload cluster is not in the code-green NKP workspace?
  • A. NKP vSphere clusters cannot be assigned NKP workspaces and instead are assigned the default NKP workspace. The cluster can be viewed from this workspace instead.
  • B. The engineer did not supply the --namespace code-green parameter as part of the nkp create cluster vsphere command, therefore it was created in the default workspace and needs to be manually attached.
  • C. The vSphere cluster cannot be displayed in the NKP UI unless its Kubernetes version is within 'N - 1' versions of the NKP management cluster's Kubernetes version.
  • D. The vSphere service account credentials had expired prior to the engineer's attempt to view the cluster in the NKP UI. Once the credentials are refreshed, the vSphere cluster will reappear in the NKP workspace.
Answer: B

NEW QUESTION # 47
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. Call tech support to take a look at the infrastructure and investigate.
  • B. Add more CPU and memory to workers with nkp scale --cpu 16 --memory 64 --cluster-name
    ${CLUSTER_NAME}
  • C. Add one more worker with nkp scale nodepools ${NODEPOOL_NAME} --replicas=5 --cluster- name=${CLUSTER_NAME} -n ${CLUSTER_WORKSPACE}
  • D. Ask developers to lower the number of application replicas.
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 # 48
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