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| Section | Objectives |
|---|---|
| Networking and Service Exposure | - Container networking basics - Ingress, load balancing, and service discovery |
| Nutanix Cloud Native Platform | - Cluster provisioning and lifecycle management - Nutanix Kubernetes Engine (NKE) / Karbon concepts |
| Kubernetes Fundamentals | - Workload scheduling and scaling concepts - Pods, deployments, services, and namespaces - Kubernetes architecture and core components |
| Security and Access Control | - RBAC and Kubernetes security model - Secrets, policies, and workload isolation |
| Operations and Troubleshooting | - Monitoring and logging of Kubernetes clusters - Troubleshooting workloads and cluster issues |
| Storage and Data Management | - Container storage interfaces (CSI) - Persistent volumes and storage classes on Nutanix |
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60. Frage
A development team is working on a new application that requires access to certain cluster resources. The team needs to ensure that they have limited permissions to avoid unauthorized changes in other environments. Among the tasks they will perform are the following:
Deploy new versions of the application to their specific namespace.
Scale deployments according to demand.
View logs and metrics of their applications to monitor performance.When using the NKP GUI, what type of access should the team configure?
Antwort: A
61. Frage 
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?
Antwort: A
62. Frage
A Cloud Engineer manages an NKP environment and is preparing a machine image to become an NKP cluster node.
Which statement is regarding the default node preparation process?
Antwort: C
Begründung:
As outlined in the NKPA 6.10 documentation, Goss is used to validate that an OS image meets the requirements to serve as an NKP node (such as the presence of required packages, kernel modules, and system settings). Goss is not used to modify or harden the image; rather, it validates conformance.
Key reference:
"During the image build process, Goss tests validate that the image meets the required standards for use as a Kubernetes node in NKP deployments." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Image Validation with Goss" NCP-CN 6.10 Study Guide - "OS Image Validation Process"
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63. Frage
NKP Starter is bundled with which entitlement?
Antwort: D
64. Frage
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?
Antwort: C
Begründung:
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
65. Frage
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