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| Section | Weight | Objectives |
|---|---|---|
| Manage Building an NKP Cluster | 28% | - Customize and deploy NKP clusters - Customize and deploy Kommander management platform - Apply and manage cluster licenses |
| Prepare the Environment for an NKP Deployment | 22% | - Seed a private container registry - Build machine images or prepare target nodes - Create a bootstrap cluster - Prepare a bastion host - Gather deployment configuration information - Determine license tiers (Community, Standard, Enterprise) |
| Conduct NKP Fleet Management | 20% | - Attach, detach, or remove clusters from workspaces - Configure projects for resource segmentation - Deploy and manage platform applications - Configure workspaces for cluster organization - Deploy workload clusters into workspaces |
| Perform Day 2 Operations | 30% | - Implement backup and recovery procedures - Set up logging and monitoring systems - Monitor cluster performance and health - Perform lifecycle management: upgrades, updates, maintenance - Configure cluster autoscaling - Configure authentication and authorization |
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NEW QUESTION # 43
Which two statements are true regarding deploying NKP on an Azure Kubernetes Service (AKS) Infrastructure? (Choose two.)
Answer: A,C
NEW QUESTION # 44
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?
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 # 45
A Platform Engineer would like to deploy an NKP Platform Application to all the clusters within an NKP workspace from the command line. What is the command set to use, and what parameters must be specified with it?
Answer: C
NEW QUESTION # 46
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)?
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 # 47
Which CAPI provisioning method requires creating an inventory file of the servers to become NKP nodes?
Answer: A
NEW QUESTION # 48
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