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| Section | Objectives |
|---|---|
| Topic 1: Conduct NKP Fleet Management | - Detach or delete clusters from a workspace - Configure platform applications - Configure projects - Configure workspaces - Attach clusters to a workspace - Deploy workload clusters to a workspace |
| Topic 2: Prepare the Environment for an NKP Deployment | - Build machine images or prepare nodes - Gather information for building a cluster on a target provider - Prepare a bastion host - Seed a private registry - Determine license tiers for clusters - Create a bootstrap cluster |
| Topic 3: Perform Day 2 Operations | - Conduct performance and health monitoring - Configure cluster autoscaling - Configure authentication and authorization - Configure logging - Conduct lifecycle management functions - Configure cluster backup and recovery |
| Topic 4: Manage Building an NKP Cluster | - Customize and deploy clusters - Customize and deploy Kommander and apply appropriate licenses |
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NEW QUESTION # 14
What is a prerequisite for upgrading an NKP license to Ultimate?
Answer: A
Explanation:
The NKPA course explains that upgrading an NKP license to the Ultimate tier unlocks advanced features such as fleet management, air-gapped deployments, and additional platform services (e.g., monitoring, logging, backup/restore). These services are deployed on the Management cluster and require sufficient resources to operate effectively. A key prerequisite is to size the Control Plane nodes appropriately to support the installation of default platform services (Option C).
The Control Plane nodes in the NKP Management cluster run critical components like the API server, controller manager, and Kommander, as well as platform services such as Prometheus, Grafana Loki, and Velero. The Ultimate license increases resource demands due to the expanded functionality, and undersized Control Plane nodes can lead to performance issues or failed deployments. The Nutanix Cloud Native (NCP- CN) 6.10 Study Guide states: "Before upgrading to an NKP Ultimate license, ensure the Control Plane nodes of the Management cluster are sized appropriately (e.g., sufficient CPU, memory, and storage) to support the additional default platform services enabled by the license." For example, Control Plane nodes might need to be scaled to at least 4 vCPUs and 16 GB RAM, depending on the workload.
Incorrect Options:
* A. Size the Sidecar containers appropriately: Sidecar containers are typically used for specific workloads (e.g., logging agents), not for platform services deployment, and are not a licensing prerequisite.
* B. Size the ETCD nodes appropriately: While etcd is part of the Control Plane, the course refers to the Control Plane nodes as a whole, not etcd specifically, as the sizing requirement.
* D. Size the Worker nodes appropriately: Worker nodes run user workloads, not the platform services, which are deployed on the Control Plane in the Management cluster.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Licensing Upgrades.
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 # 15
The bastion host is currently set up with Rocky Linux and the engineer will need to configure it to meet the requirements for the air-gapped cluster.
Which first step should the engineer take to configure the bastion host?
Answer: A
NEW QUESTION # 16
A Platform Engineer works for a service provider and needs to establish access and authentication for multiple clients into an NKP cluster. Each client has their own LDAP source that should be used for authentication into the cluster.
How would this be accomplished?
Answer: C
NEW QUESTION # 17 
A current Nutanix cluster is hosting an NKP cluster and a production Kubernetes cluster named production.
Infrastructure administrators recently added three nodes with NVidia GPUs for a new AI initiative, and now a Platform Engineer has been asked to add three workers with the GPUs to the production Kubernetes cluster.
Which first step should the engineer take to achieve this task?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of Nutanix Kubernetes Platform Administration (NKPA) Course:
The NKPA course outlines the process of adding GPU-enabled worker nodes to an existing NKP-managed Kubernetes cluster, such as the production cluster in this scenario. The first step in this process is to ensure that a GPU-compatible OS image is available for the new worker nodes, as GPU support requires specific drivers and configurations (e.g., NVIDIA drivers) that are not included in standard OS images.
The correct first step is to create a GPU-compatible OS image using the command:
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nkp create image nutanix --gpu \
--gpu-name=${GPU_NAME} \
--cluster=${NUTANIX_CLUSTER_NAME} \
--endpoint=${NUTANIX_PC_ENDPOINT} \
--subnet=${NUTANIX_SUBNET} ubuntu-22.04
(Option D). This command uses the NKP CLI to create a machine image based on Ubuntu 22.04, tailored for Nutanix AHV infrastructure (nutanix) with GPU support enabled (--gpu). The --gpu-name flag specifies the GPU type (e.g., NVIDIA GPU model), and other parameters define the Nutanix cluster, Prism Central endpoint, and subnet for image creation. The resulting image includes the necessary NVIDIA drivers and dependencies, making it suitable for GPU-enabled worker nodes. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "Before adding GPU-enabled workers to an NKP cluster on Nutanix, the first step is to create a GPU-compatible OS image using nkp create image nutanix --gpu, ensuring the image includes the required GPU drivers for the target infrastructure." This image is then used in subsequent steps (like Option A) to create a node pool with GPU-enabled workers.
Without this image, the node pool creation in Option A would fail due to the lack of a suitable --vm-image.
Incorrect Options:
* A. Create a nodepool of workers with GPU: This step requires a pre-existing GPU-compatible OS image (specified via --vm-image). Since the question does not indicate that such an image already exists, creating the image (Option D) must happen first.
* B. Add the GPU Operator to the new workers: The NVIDIA GPU Operator can be installed to manage GPU resources, but this step occurs after the GPU-enabled workers are added to the cluster, not as the first step.
* C. Configure Multi-Instance GPU (MIG): MIG configuration is an advanced GPU setup step that occurs after the workers are added and the GPU Operator is installed, not as the first step.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on GPU Support in NKP Clusters.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Managing NKP Clusters.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com NVIDIA GPU Operator Documentation: https://docs.nvidia.com/datacenter/cloud-native/gpu-operator Before adding GPU-enabled worker nodes to the cluster, a GPU-compatible OS image must be created. This ensures that the required drivers and kernel modules are present for GPU workloads. This step is critical as it ensures the OS image is properly prepared for GPU operations before the nodes are integrated into the cluster.
References: Nutanix Kubernetes Platform Administration Guide - GPU Node Preparation and Image Management
NEW QUESTION # 18
A technology company has decided to migrate its infrastructure to NKP to improve the scalability and management of its applications. After a successful initial implementation, the operations team faces a new challenge of validating the HelmReleases to ensure that all applications are running correctly and avoid problems in production. Which command should the company execute to know the right status of their HelmReleases?
Answer: C
Explanation:
NKP uses Helm and Flux for application deployment, where applications are managed as HelmReleases, a custom resource that defines Helm chart deployments. The NKPA course explains that to validate the status of HelmReleases, administrators can use the kubectl command to query these resources. The correct command is kubectl get helmreleases -n ${PROJECT_NAMESPACE}, which lists all HelmReleases in the specified project namespace, showing their status (e.g., Ready, Failed) and other details like chart version and reconciliation status.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "To check the status of HelmReleases in NKP, use kubectl get helmreleases -n <namespace> to view the current state of application deployments managed by Flux." This command helps the operations team verify that applications are running correctly and identify any issues in production.
Incorrect Options:
* A. kubectl get namespaces: This lists namespaces, not HelmReleases or their status.
* C. kubectl edit helmreleases -n ${PROJECT_NAMESPACE}: This edits HelmRelease resources, not displays their status.
* D. kubectl apply -f fluent-bit-overrides.yaml: This applies a configuration for Fluent Bit, unrelated to HelmRelease status.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Application Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com Flux Documentation: https://fluxcd.io/docs/components/helm
NEW QUESTION # 19
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