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Nutanix NCP-CN Exam Overview:

Certification Vendor:Nutanix
Exam Name:Nutanix Certified Professional - Cloud Native (NCP-CN v6.10)
Exam Number:NCP-CN
Related Certifications:Nutanix Certified Professional - Cloud Native (NCP-CN 6)
Exam Price:$199 USD
Available Languages:Japanese, English
Certificate Validity Period:3 years (for certifications earned on or after August 1, 2025)
Exam Duration:120 minutes
Real Exam Qty:75
Passing Score:3000 (on a scale of 1000-6000)
Exam Format:Multiple Choice
Sample Questions:Nutanix NCP-CN Sample Questions
Exam Way:Online (Remote Proctored) via PSI or at a PSI Test Center
Pre Condition:Candidates should have at least 6-12 months of experience building and managing Kubernetes clusters, 6-12 months of working with Linux, and 6 months of experience with a Kubernetes platform. Knowledge equivalent to a Certified Kubernetes Administrator (CKA) is recommended. There are no strict prerequisites, but taking the Nutanix Kubernetes Platform Administration (NKPA) course is highly recommended.
Official Syllabus URL:https://www.nutanix.com/support-services/training-certification/certifications/certification-details-nutanix-certified-professional-cloud-native-v6-10

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Nutanix NCP-CN Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
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.
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.
Topic 4
  • 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.

Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q73-Q78):

NEW QUESTION # 73
After a finished project, three Kubernetes clusters within a workspace were deleted, so the workspace is empty. Now a Platform Engineer needs to delete the workspace. How should the engineer delete the workspace in NKP?

Answer: B


NEW QUESTION # 74
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: D

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 # 75

After creating the project, what should the administrator configure in order for the new software releases to automatically deploy to both environments?

Answer: D


NEW QUESTION # 76
A company has decided to expand NKP to features that require higher product tiers, like fleet-management and additional infrastructure providers. The company has already obtained the necessary licensing. Which action is required when adding and activating a license from NKP Starter to a higher-tier product?

Answer: A


NEW QUESTION # 77
A dev team needed to optimize their logging system to be more robust, because the CPU and memory limits were insufficient, which caused delays in log collection and processing during times of high demand.
After a deep performance analysis, they decided to increase the CPU limits from 1 to 4 and the memory from 1000Mi to 4Gi.
Which ConfigMap should the development team run with custom resource requests and limit values for fluentd?

Answer: B


NEW QUESTION # 78
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