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

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 course outlines the specifics of integrating Azure Kubernetes Service (AKS) with NKP, focusing on fleet management and the deployment architecture. The correct statements are:

Existing AKS clusters must be attached to the Management cluster (Option A):NKP does not provision AKS clusters directly because AKS is a managed Kubernetes service. Instead, NKP attaches existing AKS clusters to its management plane for centralized management. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “For AKS integration, existing AKS clusters must be attached to the NKP Management cluster using the Attach Cluster functionality, as NKP does not provision AKS clusters.” This involves creating a service account with cluster-admin permissions in the AKS cluster and providing its kubeconfig to NKP.

NKP Management cluster with the Kommander component must be installed before installing NKP on AKS cluster (Option C):The Kommander component is part of the NKP Management cluster and provides the centralized management plane for fleet management, including AKS clusters. The NKPA course specifies that an NKP Management cluster with Kommander must be deployed before attaching or managing external clusters like AKS. The NCP-CN 6.10 Study Guide notes: “An NKP Management cluster with Kommander must be installed prior to integrating AKS clusters, as Kommander enables the fleet management capabilities for external clusters.”

Incorrect Options:

B. AKS best practices encourage building customized images: AKS best practices recommend using the default node images provided by Azure, which are optimized for AKS features like autoscaling and security. Custom images can lead to loss of functionality, as noted in previous questions (e.g., Q91).

D. AKS clusters can be deployed as Management or Pro NKP clusters: AKS clusters are attached, not deployed, by NKP. Additionally, AKS clusters cannot serve as NKP Management clusters; the Management cluster must be deployed on supported infrastructure like Nutanix AHV, AWS, or vSphere. “Pro NKP clusters” is not a valid term in NKP documentation—Pro refers to a license tier, not a cluster type.

The NKPA course details the process of creating an NKP cluster on vSphere using the NKP CLI, including the configuration of multiple node pools with specific worker node counts and CPU settings. The correct approach involves creating the cluster with the initial node pool and then adding additional node pools separately.

The steps inOption Aalign with this process:

nkp create cluster vsphere --worker-replicas 6 --worker-cpus 10: This command creates the NKP cluster on vSphere with the first node pool, consisting of 6 worker nodes, each with 10 CPUs.

nkp create nodepool vsphere --worker-replicas 3 --worker-cpus 8: This adds the second node pool to the cluster with 3 worker nodes, each with 8 CPUs.

nkp create nodepool vsphere --worker-replicas 3 --worker-cpus 6: This adds the third node pool with 3 worker nodes, each with 6 CPUs.

The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “To create an NKP cluster with multiple node pools on vSphere, use nkp create cluster vsphere to define the first node pool, then add additional node pools with nkp create nodepool vsphere, specifying --worker-replicas and --worker-cpus for each pool.” This method ensures precise control over each node pool’s configuration.

Incorrect Options:

B: The second nkp create nodepool command uses --replicas and --cpus, which are not the correct flags. The NKPA course specifies --worker-replicas and --worker-cpus.

C: The --node-pools, --worker-replicas 6,3,3, and --worker-cpus 10,8,6 flags are not supported in a single nkp create cluster command. Node pools must be created separately.

D: There is no nkp create nodepools command; the correct command is nkp create nodepool. Additionally, --replicas and --cpus are incorrect flags.

As per theNKPA 6.10 documentation, the primary requirement for attaching external (self-managed) Kubernetes clusters to NKP isnetwork connectivity. Specifically, theNKP management cluster must be able to communicate with the Kubernetes API serverand relevant services of the target cluster. This allows NKP to collect metrics, perform health checks, and manage the attached cluster through Kommander and associated tools.

Exact extract:

“For attaching existing Kubernetes clusters, ensure the NKP management cluster can reach the Kubernetes API server of the target cluster and that the kubeconfig used has sufficient permissions.”

There is no requirement that the Kubernetes versions be exactly matched or within N-1, nor that an NKP admin account be directly established on the target clusters; the connectivity and valid kubeconfig file are the essential requirements.

The Nutanix Kubernetes Platform (NKP) uses the Kubernetes Image Builder (KIB) or Nutanix Image Builder (NIB) to create custom machine images for NKP management and worker nodes. These images are tailored to include specific versions of Kubernetes, container runtimes (e.g., containerd), and other dependencies. The NKPA course specifies that KIB relies on Ansible playbooks to configure the image, and the versions of packages like Kubernetes and containerd are defined in Ansible configuration files.

The correct location to verify the package versions isansible/group_vars/all/defaults.yaml. This file contains the default variables used by Ansible during the image-building process, including the versions of Kubernetes and containerd. For example, it may include entries like kubernetes_version: 1.30.5 and containerd_version: 1.7.22. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “To ensure the correct versions of Kubernetes and containerd are used in KIB, check the ansible/group_vars/all/defaults.yaml file, which specifies the package versions for the image build.” The engineer can review and modify this file to confirm that the security team’s authorized versions (Kubernetes 1.30.5 and containerd 1.7.22) are being used.

Incorrect Options:

A. config/pulumi/vars/pulumi.kib.config: Pulumi is an infrastructure-as-code tool, but it is not used by KIB for specifying package versions. The NKPA course does not reference this file.

B. terraform/vars/default/terraform.tfvars: Terraform is used for infrastructure provisioning, not for defining software versions in KIB images.

D. The custom image's .env file: KIB does not use a .env file for version configuration; Ansible variables are used instead.

The output indicates that an AppDeployment resource named grafana-logging was created in the kommander-default-workspace namespace, which corresponds to an NKP workspace. The NKPA course explains that NKP Platform Applications, such as Grafana Logging, are deployed using the nkp create appdeployment command. This command creates an AppDeployment resource that deploys the specified application (e.g., Grafana Logging) across all clusters in a workspace.

The command inOption A, nkp create appdeployment grafana-logging --app grafana-logging-6.57.4 --workspace default-workspace, matches the output:

grafana-logging is the name of the AppDeployment.

--app grafana-logging-6.57.4 specifies the application and version.

--workspace default-workspace targets the workspace, which corresponds to the namespace kommander-default-workspace in the output (the kommander- prefix is a standard NKP namespace convention).

The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “To deploy a platform application like Grafana Logging, use nkp create appdeployment --app - --workspace , which creates an AppDeployment resource in the workspace namespace.” This command aligns with the output provided.

Incorrect Options:

B. export WORKSPACE_NAMESPACE and nkp create package-bundle: There is no nkp create package-bundle command in NKP for deploying applications. The correct command is nkp create appdeployment.

C. kubectl get appdeployment: This retrieves the status of an AppDeployment, not creates it. The output indicates creation, not retrieval.

D. kubectl get helmreleases: This retrieves HelmRelease resources, not AppDeployments, and does not create the Grafana Logging deployment.

Comprehensive and Detailed Explanation From General Kubernetes Knowledge:

Since this question involves AWS EKS and Azure AKS specifics outside the NKP context, and web search is unavailable, I will rely on general Kubernetes knowledge as of my last update. Using a custom image for EKS and AKS worker nodes means replacing the default, optimized images provided by AWS and Azure, which are pre-configured with components tailored for their managed Kubernetes services.

The primary functionality lost by using a custom image in both EKS and AKS isbuilt-in autoscaling and security capabilities(Option C):

Autoscaling: Both EKS and AKS rely on their default node images to integrate with their native autoscaling mechanisms, such as the EKS Cluster Autoscaler (which uses AWS Auto Scaling Groups) and AKS Cluster Autoscaler (which integrates with Azure Virtual Machine Scale Sets). Custom images may lack the necessary agents or configurations (e.g., AWS SSM Agent, Azure VM extensions) to communicate with these autoscaling services, requiring manual configuration.

Security Capabilities: Default images include pre-configured security features, such as AWS’s integration with IAM roles for service accounts (IRSA) and Azure’s integration with Azure Active Directory (AAD) for RBAC. Custom images may not include these integrations, potentially breaking security features like automatic credential rotation or managed identity support unless manually configured.

Incorrect Options:

A. Native monitoring tools, logging, and alerting: Monitoring and logging (e.g., AWS CloudWatch, Azure Monitor) are managed at the control plane level, not the node image level, so these features are generally unaffected by custom images.

B. Cluster networking and load balancing: Networking (e.g., AWS VPC CNI, Azure CNI) and load balancing (e.g., AWS ALB, Azure Load Balancer) are configured by the control plane and CNI plugins, not the node image.

D. Ability to use GPUs and persistent storage: GPU support and persistent storage (e.g., EBS, Azure Disk) depend on drivers and CSI plugins, which can be installed on custom images without losing functionality.

According to theNKPA 6.10 documentationunder the “Preparing for FIPS Compliance” section, the first step for enabling FIPS in an NKP environment is to ensure that the underlying operating system (OS) or OS images are correctly configured for FIPS mode. The Nutanix Kubernetes Platform can only leverage FIPS-compliant cryptographic modules if the underlying OS is already configured for FIPS operation.

Specifically, the documentation states:

"Before enabling FIPS in NKP, ensure that the OS or OS images are prepared and configured to operate in FIPS mode, following the vendor’s guidelines. Once the OS is in FIPS mode, the NKP cluster components can be provisioned with FIPS support."

This foundational step is critical to ensure cryptographic consistency and compliance throughout the NKP stack.