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| Section | Objectives |
|---|---|
| Manage Building an NKP Cluster | - Customize and deploy Kommander and apply appropriate licenses - Customize and deploy clusters |
| Prepare the Environment for an NKP Deployment | - Seed a private registry - Prepare a bastion host - Create a bootstrap cluster - Build machine images or prepare nodes - Determine license tiers for clusters - Gather information for building a cluster on a target provider |
| Conduct NKP Fleet Management | - Deploy workload clusters to a workspace - Configure projects - Detach or delete clusters from a workspace - Attach clusters to a workspace - Configure platform applications - Configure workspaces |
| Perform Day 2 Operations | - Configure cluster backup and recovery - Configure cluster autoscaling - Configure authentication and authorization - Configure logging - Conduct lifecycle management functions - Conduct performance and health monitoring |
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NEW QUESTION # 99
NKP cluster nodes require a disk for some of its deployed components, outside of an application's persistent volume requirements. What are these components and where are they deployed?
Answer: C
Explanation:
According to the NKPA 6.10 documentation, the critical system components for NKP nodes are:
* kubelet
* containerdThese components are deployed in the standard Linux path: /var/lib.
Exact extract from the documentation:
"The kubelet and containerd services require disk space in /var/lib on the host operating system. It's essential to allocate sufficient storage in /var/lib to accommodate these core Kubernetes components." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Host Requirements for Cluster Nodes" NCP-CN 6.10 Study Guide - "Node OS Directory Requirements"
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NEW QUESTION # 100 
A Platform Engineer sees no insight in all workspaces, and it is a critical feature to control all the alerts on all company's Kubernetes clusters. What does the engineer need to do to begin generating NKP Insights?
Answer: C
Explanation:
The exhibit shows an NKP UI message stating "No insights identified," indicating that NKP Insights, the platform's predictive analytics and observability feature, is not active. The NKPA course explains that NKP Insights is a platform application that provides anomaly detection and alerting for Kubernetes clusters but requires deployment and configuration to generate insights.
The correct approach (Option C) involves two steps:
* Create a persistent volume claim (PVC) and assign it to nkp-insights: NKP Insights requires persistent storage to save logs, metrics, and historical data for analysis. The course specifies that a PVC must be created to provide this storage, ensuring the application can retain data for generating insights.
* Install nkp-insights with nkp create appdeployment nkp-insights --app nkp-insights-1.2.2 -- workspace kommander-workspace: This command deploys the NKP Insights application across all clusters in the specified workspace (kommander-workspace). The --app flag specifies the application version, and the deployment ensures that insights are generated for all clusters in the workspace.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "To enable NKP Insights, create a PersistentVolumeClaim for storage and deploy the application using nkp create appdeployment nkp-insights -- app <version> --workspace <workspace-name> to begin generating insights across clusters." This aligns with the need to control alerts across all company clusters, as NKP Insights provides centralized observability.
Incorrect Options:
* A. Acquire the NKP Insights Add-on license: NKP Insights is a platform application included in higher-tier licenses (e.g., NKP Ultimate), not a separate add-on. The course does not indicate a separate license requirement.
* B. Install nkp-insights in every cluster with kubectl apply: This method is manual and inefficient.
NKP's appdeployment command automates deployment across all clusters in a workspace.
:
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 # 101
A Platform Engineer is attaching existing Kubernetes clusters to NKP, but some of them have network restrictions, so there is a need to use Secure Tunnel. The Platform Engineer needs to ask the Security Engineer to modify the firewall rules.
What must the firewall rules allow on the attached cluster network?
Answer: C
Explanation:
The Secure Tunnel feature in NKP relies on HTTPS (TCP port 443) to establish secure, encrypted connections between the attached cluster and the management cluster, enabling fleet management even in restricted network environments.
Exact extract:
"Secure Tunnel uses TCP/443 (HTTPS) for establishing a secure connection between the attached cluster and NKP." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Secure Tunnel for Restricted Clusters" NCP-CN 6.10 Study Guide - "Firewall Rules for Secure Tunnel Connectivity"
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NEW QUESTION # 102
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?
Answer: C
Explanation:
The NKPA course explains that NKP's monitoring stack includes Prometheus for metrics collection and storage, and Fluent Bit for log collection and forwarding. To retain system resource utilization data over several months, the company must focus on Prometheus, as it is responsible for storing time-series metrics data, such as CPU, memory, and network utilization, which are critical for long-term trend analysis.
To handle the increased workload from the online retail application, the Platform Engineer should adjust Prometheus by increasing its container resource limits and memory settings to ensure it can process and store more metrics, and increasing its storage to retain data for several months. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "For long-term metrics retention in NKP, scale the Prometheus deployment by increasing its resource limits (CPU and memory) and expanding its persistent storage to accommodate larger time-series data." This involves editing the Prometheus deployment's resource settings (e.
g., via kubectl edit deployment) and updating the PersistentVolumeClaim (PVC) to allocate more storage.
Incorrect Options:
* A. Adjust the number of replicas for Fluent Bit: Fluent Bit handles logs, not metrics. Increasing replicas does not address long-term metrics storage.
* B. Adjust the number of replicas for Prometheus: Increasing replicas improves availability but does not directly address storage or resource needs for metrics retention.
* C. Adjust the resource settings for Fluent Bit: Fluent Bit is for log collection, not metrics storage, and is not relevant for this use case.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Monitoring and Platform Applications.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com Prometheus Documentation: https://prometheus.io
NEW QUESTION # 103
Refer to the exhibits.
A Cloud Administrator had provisioned a Kubernetes cluster named demo that is no longer actively being used. A Quick review from the Systems Engineer confirms that the following VMs are part of the demo Kubernetes cluster
How should the demo cluster be properly deleted?
Answer: C
Explanation:
Comprehensive and Detailed Explanation:
The correct procedure for deleting an NKP cluster involves using the nkp delete cluster command with the appropriate cluster name and namespace. This ensures that not only the Kubernetes resources but also the corresponding NKP resources (e.g., nodepools, Kommander integration) are deleted cleanly and consistently.
Simply deleting the VMs does not clean up the associated NKP management objects. This approach is detailed in the NKP documentation for cluster lifecycle management, emphasizing the need to use the provided CLI commands for full removal.
References: NCP-CN-6.10 Course Material - Cluster Deletion Commands
NEW QUESTION # 104
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