NCP-CN Exam Dumps - Nutanix Certified Professional - Cloud Native (NCP-CN-6.10)

Comprehensive and Detailed Explanation:

Both the Konvoy Image Builder (KIB) and the Nutanix Image Builder (NIB) are included tools used to create and manage custom OS images suitable for NKP deployments. KIB is responsible for building images that conform to the standards required by Konvoy-based environments, while NIB is designed for direct integration with the Nutanix AHV infrastructure. These tools support automated preparation, hardening, and upload of images to the appropriate repositories.

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 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.

The NKPA course details the deployment of an NKP Management cluster on AWS using the nkp install kommander command, which installs the Kommander component responsible for fleet management. For a testing environment with minimal resource usage, the engineer can optimize the installation process by adjusting parameters that control timeouts and initialization settings, reducing overhead and ensuring the deployment completes efficiently on smaller infrastructure.

The two relevant parameters are:

--wait-timeout (Option B): This parameter sets the maximum time the nkp install kommander command waits for the Kommander components to become ready. In a testing environment with minimal resources, components may take longer to start due to limited CPU and memory. Reducing the wait timeout (e.g., --wait-timeout=10m) ensures the command does not hang indefinitely, allowing the engineer to troubleshoot if needed. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “Use --wait-timeout with nkp install kommander to adjust the waiting period for component readiness, useful in low-resource environments.”

--init (Option D): This parameter initializes the Kommander installation with default settings optimized for minimal resource usage, suitable for a testing environment. It ensures that Kommander deploys with a lightweight configuration, reducing the resource footprint (e.g., fewer replicas, lower resource requests). The NKPA course notes: “The --init flag with nkp install kommander sets up a minimal configuration for testing purposes, minimizing resource usage on AWS.”

Incorrect Options:

A. --request-timeout: This parameter is not relevant to nkp install kommander. It is typically used for API request timeouts, not installation optimization.

C. --yaml: This parameter would specify a custom YAML configuration file, but the question asks for minimal resource usage, which is better achieved with --init for default lightweight settings.

The NKPA 6.10 documentation and Nutanix Best Practices recommend using workspaces to segment cluster deployments and their associated infrastructure providers, as well as to manage access control through RBAC. The typical workflow is:

Create an NKP workspace dedicated to the R&D environment.

Create an infrastructure provider (e.g., vSphere, AHV) scoped to that workspace.

Create an NKP group for the R&D team and assign admin roles to this group within the workspace.

Deploy workload clusters in this workspace, leveraging the scoped infrastructure provider.

This ensures that:

The R&D team has full administrative control over their resources.

Clusters and infrastructure are logically isolated in the R&D workspace.

RBAC policies are applied cleanly within the workspace context.

The scenario describes an isolated environment in Antarctica, implying an air-gapped NKP deployment where the bastion host serves as the primary management point for deploying and managing NKP clusters without Internet access. The NKPA course outlines the essential tools that must be installed on a bastion host to facilitate NKP deployment and management in such environments.

The required programs are kubectl and nkp:

kubectl: This is the Kubernetes command-line tool used to interact with Kubernetes clusters, essential for managing cluster resources, debugging, and applying configurations during and after deployment.

nkp: The NKP CLI (nkp) is the primary tool for deploying, managing, and scaling NKP clusters, including creating bootstrap clusters, deploying clusters, and managing platform applications. In an air-gapped setup, the nkp CLI is critical for executing deployment commands using the Air-Gapped Bundle.

The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “For an air-gapped NKP deployment, ensure the bastion host has kubectl and the nkp CLI installed to manage the deployment process and interact with the resulting Kubernetes clusters.” These tools are sufficient for the engineer to deploy and operate NKP in an isolated environment.

Incorrect Options:

A. awscli and nkp: The awscli is specific to AWS environments, but the question does not specify AWS infrastructure. Additionally, in an isolated environment, awscli is less relevant without Internet access.

B. oc and kubectl: oc is the OpenShift CLI, not used for NKP deployments. NKP uses nkp CLI instead.

C. oc and az: az is the Azure CLI, and oc is for OpenShift—neither is relevant to NKP deployment.

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.

The NKPA 6.10 documentation clarifies that the supported and recommended method to delete an entire node pool (including its worker nodes) in an NKP cluster is by using the nkp delete nodepool command. This command removes the specified node pool and all associated resources from the cluster in a controlled and supported manner.

Key reference from the documentation:

“Use nkp delete nodepool --cluster-name= to safely remove the node pool and its associated resources.”

Manual VM deletion via ACLI or NCLI is not recommended because it bypasses the Kubernetes and NKP resource lifecycle, potentially leaving orphaned resources or inconsistent cluster states.

The NKPA course details that backup and restore functionality in NKP is provided through integration with Velero, which supports backing up persistent volumes, cluster resources, and application data to S3-compatible storage. This functionality is considered an advanced feature and is included in higher-tier NKP licenses: NKP Ultimate and NKP Pro.

NKP Ultimate: This top-tier license includes all NKP features, such as air-gapped deployments, fleet management, and backup/restore capabilities. It is designed for enterprise-grade environments requiring comprehensive disaster recovery.

NKP Pro: This mid-tier license also includes backup and restore functionality, catering to organizations needing robust data protection but not necessarily all the features of the Ultimate tier (e.g., air-gapped support).

The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “Backup and restore functionality, powered by Velero, is available in NKP Pro and NKP Ultimate license tiers, enabling protection of persistent volumes and cluster resources.” These licenses provide the necessary tools and support for configuring Velero with S3-compatible storage, scheduling backups, and performing restores in production environments.

Incorrect Options:

A. NKP Starter: The Starter tier is entry-level and does not include advanced features like backup and restore. It focuses on basic cluster management.

B. NKP Essential: This tier, if it exists in NKP’s licensing model, would be a lower tier and unlikely to include backup/restore functionality, as it is not mentioned in the NKPA course.