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| Topic |
Details |
| Topic 1 |
- Manage Building an NKP Cluster: This section evaluates the skills of Kubernetes administrators and platform engineers in customizing and deploying NKP clusters. Candidates must show proficiency in tailoring cluster configurations to meet specific requirements and deploying Kommander, the management platform, while applying the appropriate licenses to enable cluster features and management capabilities.
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| Topic 2 |
- Conduct NKP Fleet Management: This section tests the abilities of platform administrators and cloud operations engineers in managing multiple clusters as a fleet. It focuses on configuring workspaces to organize clusters, deploying workload clusters within these workspaces, and attaching or detaching clusters as needed. Additionally, candidates must be able to configure projects for workload segmentation and manage platform applications that support the overall NKP environment.
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| Topic 3 |
- Perform Day 2 Operations: This part assesses the expertise of site reliability engineers and cluster operators in ongoing cluster management tasks after deployment. It includes configuring authentication and authorization mechanisms, setting up logging systems, and implementing cluster backup and recovery procedures. Candidates also need to demonstrate skills in monitoring cluster performance and health, configuring autoscaling to handle workload changes, and performing lifecycle management functions such as upgrades and maintenance.
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| Topic 4 |
- Prepare the Environment for an NKP Deployment: This section of the exam measures the skills of infrastructure engineers and cloud administrators and covers the initial setup tasks needed for NKP deployment. Candidates must demonstrate the ability to seed a private container registry, create a bootstrap Kubernetes cluster, and determine license tiers suitable for clusters. They also need to prepare a bastion host for secure access, build machine images or prepare nodes for deployment, and gather all necessary information to build a cluster on the target cloud or on-premises provider.
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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q91-Q96):
NEW QUESTION # 91
A Platform Engineer is preparing machine images for NKP through the NIB or KIB process. What is the purpose of doing this?
- A. Hardening an OS image with client-supplied hardening scripts
- B. Creating a custom user account for NKP admins to ensure access to NKP nodes
- C. Tagging the image to be used specifically for NKP
- D. Creating a CAPI-compliant image for use as NKP cluster nodes
Answer: D
NEW QUESTION # 92
A Platform Engineer is deploying a new Kubernetes application in Amazon Web Services (AWS) Elastic Container Service for Kubernetes (EKS) and Azure Kubernetes Service (AKS). The engineer's team has decided to use a custom image instead of the default images provided by AWS or Azure for their clusters.
What functionality will the engineer lose in both AWS EKS and Azure AKS by choosing to use a custom image?
- A. Built-in autoscaling and security capabilities
- B. Native monitoring tools, logging, and alerting
- C. Ability to use GPUs and persistent storage
- D. Cluster networking and load balancing
Answer: A
Explanation:
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 is built-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.
:
General Kubernetes Knowledge on EKS and AKS Image Customization.
AWS EKS Documentation (Conceptual): https://docs.aws.amazon.com/eks
Azure AKS Documentation (Conceptual): https://docs.microsoft.com/en-us/azure/aks
NEW QUESTION # 93
In an effort to control cloud cost consumption, auto-scale is configured to meet demands as needed.
What is the behavior for when nodes are scaled down?
- A. Node is paused in Kubernetes and the infrastructure continues to consume the resources at the current level.
- B. Node is CAPI deleted from its infrastructure provider, effectively removing it from its hypervisor.
- C. Node is changed to a status of Power-Off for stand-by.
- D. Node is changed to a status of Hibernate.
Answer: B
NEW QUESTION # 94
Which two statements are true regarding deploying NKP on an Azure Kubernetes Service (AKS) Infrastructure? (Choose two.)
- A. AKS best practices encourage building customized images.
- B. AKS clusters can be deployed as Management or Pro NKP clusters.
- C. NKP Management cluster with the Kommander component must be installed before installing NKP on AKS cluster.
- D. Existing AKS clusters must be attached to the Management cluster.
Answer: C,D
NEW QUESTION # 95
A company has different Kubernetes clusters for different business units. Every business unit has separate Kubernetes clusters for production and development because the software deployed in production is different than development. Now, all production clusters for all business units are standardized and all clusters for development are standardized as well.
The company recently acquired NKP Ultimate licenses for all Kubernetes clusters.
How can the company control the standard configuration for both environments in all clusters (production and development)?
- A. Create new Kubernetes clusters for production and development with NKP for every business unit.
- B. Install Flux in every Kubernetes cluster with the appropriate kustomize.yaml, with nkp install flux -- kustomize=kustomize.yaml --kubeconfig=<cluster>.conf
- C. Install Flux in every Kubernetes cluster and configure the appropriate kustomize.yaml in every Kubernetes cluster.
- D. Configure a production workspace and a development workspace and attach each Kubernetes cluster to the corresponding workspace.
Answer: D
Explanation:
The NKPA 6.10 documentation confirms that workspaces in NKP are used to logically group and standardize configurations across multiple clusters. By creating a production workspace and a development workspace, the organization can control and enforce standardized configurations and policies for all relevant clusters.
Exact extract:
"Workspaces provide logical separation for resources, configuration, and policy management across multiple clusters, enabling standardized operations." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Workspaces and Multi-Cluster Management" NCP-CN 6.10 Study Guide - "Standardizing Configurations Across Clusters"
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NEW QUESTION # 96
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