素敵なNCP-CN日本語版対応参考書一回合格-信頼的なNCP-CN基礎訓練

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Nutanix NCP-CN 認定試験の出題範囲：

トピック	出題範囲
トピック 1	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.
トピック 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.
トピック 3	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.
トピック 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.

>> NCP-CN日本語版対応参考書 <<

NCP-CN基礎訓練、NCP-CN資格参考書

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Nutanix Certified Professional - Cloud Native v6.10 認定 NCP-CN 試験問題 (Q81-Q86):

質問 # 81
In a telecom company, two teams were working on the development of two different applications:
* ApplicationA
* ApplicationBApplicationA's development team was excited about the release of their new functionality. However, upon deploying their application, they noticed that performance was slow.
After investigating, they discovered that the ApplicationB team was consuming the majority of the cluster's resources, affecting all other teams. How can this problem be mitigated?

A. Configuring RBAC
B. Setting up Network Policies
C. Implementing Quotas and Limit Ranges
D. Implementing Continuous Deployment (CD)

正解：C

解説：
The NKPA course addresses resource contention in Kubernetes clusters, where one application (e.g., ApplicationB) consumes excessive resources, impacting others (e.g., ApplicationA). To mitigate this, the course recommends implementing Quotas and Limit Ranges.
* Resource Quotas restrict the total amount of CPU, memory, and other resources a namespace can consume, ensuring fair resource allocation across teams.
* Limit Ranges set minimum and maximum resource limits for individual pods and containers within a namespace, preventing any single application from monopolizing resources.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "To prevent resource contention in NKP clusters, apply Resource Quotas to limit namespace resource usage and Limit Ranges to enforce pod and container resource boundaries." For example, the administrator can create a ResourceQuota to cap ApplicationB's namespace resource usage and a LimitRange to restrict its pod resource requests/limits, ensuring ApplicationA has sufficient resources.
Incorrect Options:
* B. Setting up Network Policies: Network Policies control network traffic, not resource usage.
* C. Configuring RBAC: RBAC manages access permissions, not resource allocation.
* D. Implementing Continuous Deployment (CD): CD automates deployments but does not address resource contention.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Resource Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com Kubernetes Documentation: https://kubernetes.io/docs/concepts/policy/resource-quotas

質問 # 82
Using an NKP Ultimate license, a Platform Engineer has created a new workspace and needs to create a new Kubernetes cluster within this workspace. However, the engineer discovers that the Create Cluster option is grayed out, as shown in the exhibit. How should the engineer resolve this issue?

A. Create the cluster only using YAML and not the GUI.
B. Ensure NKP is upgraded to a minimum version of 2.12.
C. Create an Infrastructure provider for the workspace.
D. Attach existing clusters instead of creating a new cluster.

正解：C

質問 # 83
A Cloud Engineer wishes to attach existing AKS clusters to a newly deployed NKP management cluster.
What should the engineer consider specific to attaching these types of clusters to NKP?

A. Cert-manager, which is included in NKP, is deployed by default on AKS clusters.
B. AKS does not have the kubelet installed on them. Therefore the KIB-prep process should be performed on each of the nodes in the AKS clusters prior to attaching them.
C. A separate service account should be created for them because their kubeconfig files are not usable out- of-box by NKP Kommander.
D. AKS nodes do not use containerd as its container runtime. Therefore it should be deployed to each of the nodes in the AKS clusters prior to attaching them.

正解：C

解説：
The NKPA 6.10 documentation specifies that when attaching external clusters like AKS (Azure Kubernetes Service) to an NKP management cluster using Kommander, the default kubeconfig provided by AKS is typically not directly usable because it lacks the necessary service account details and permissions for NKP to properly manage the cluster. Therefore, the recommended and required approach is to create a separate service account in AKS with the necessary permissions and generate a kubeconfig file for this service account.
Key reference:
"When importing external clusters, such as AKS, the default kubeconfig might not contain the correct permissions for NKP Kommander. A custom kubeconfig for a service account with cluster-admin privileges should be created and used to attach the cluster to NKP." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Attaching External Clusters" NCP-CN 6.10 Study Guide - "Managing External Clusters"
=======

質問 # 84
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?

A. bash
Copy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yaml
apiVersion v1
kind ConfigMap
metadata
name logging-operator-logging-overrides
namespace kommander
data
values.yaml |
fluentd
resources
limits
cpu 1
memory 1000Mi
requests
cpu 4
memory 4Gi
EOF
B. bash
Copy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: logging-operator-logging-overrides
namespace: kommander
data:
values.yaml: |
fluentd
resources
limits
cpu 4
memory 1000Mi
requests
cpu 1
memory 4Gi
EOF
C. bash
Copy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: logging-operator-logging-overrides
namespace: kommander
data:
values.yaml: |
fluentd:
resources:
limits:
cpu: 4
memory: 4Gi
requests:
cpu: 4
memory: 4Gi
EOF
D. bash
Copy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yaml
apiVersion v1
kind ConfigMap
metadata
name logging-operator-logging-overrides
namespace kommander
data
values.yaml |
fluentd
resources
limits
cpu 4
EOF
values.yaml |
fluentd
resources
limits
cpu 4
memory 4Gi
requests
cpu 1
memory 1000Mi
EOF

正解：C

解説：
As outlined in the NKPA 6.10 documentation under "Customizing Resource Requests and Limits for Logging," to override the default resource values for the logging operator, a ConfigMap named logging- operator-logging-overrides in the kommander namespace is used. The values.yaml in the ConfigMap should precisely define fluentd resource limits and requests in a valid YAML format.
The correct YAML format is:
yaml
Copy
apiVersion: v1
kind: ConfigMap
metadata:
name: logging-operator-logging-overrides
namespace: kommander
data:
values.yaml: |
fluentd:
resources:
limits:
cpu: 4
memory: 4Gi
requests:
cpu: 4
memory: 4Gi
This ensures that the desired CPU and memory resources are correctly applied for the fluentd daemon, avoiding parsing errors and meeting the high-demand logging needs.
Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Configuring Logging Resources" NCP-CN 6.10 Study Guide - "Overriding Fluentd Resources Using ConfigMap"
=======

質問 # 85
Refer to the exhibits.
A Cloud Administrator had provisioned a Kubernetes cluster named demo that is no longer actively being used. A Quick review from the Systems Engineer confirms that the following VMs are part of the demo Kubernetes cluster

How should the demo cluster be properly deleted?

A. Run nkp delete cluster -c demo -n kommander-default-workspace
B. Delete all the VMs and inform of the results.
C. Run kubectl config delete-cluster demo -n kommander-default-workspace and delete the VMs.
D. Run acli vm.delete demo* from a CVM.

正解：A

質問 # 86
......

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NCP-CN基礎訓練: https://www.pass4test.jp/NCP-CN.html

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