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JN0-214問題数 & JN0-214日本語対策

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Juniper Cloud, Associate (JNCIA-Cloud) 認定 JN0-214 試験問題 (Q24-Q29):

質問 # 24
You are asked to deploy a Kubernetes application on your cluster. You want to ensure the application, and all of its required resources, can be deployed using a single package, with all install-related variables defined at start time.
Which tool should you use to accomplish this objective?

• A. Kubernetes imperative CLI should be used to run the application.
• B. A YAML manifest should be used for the application.
• C. An Ansible playbook should be run for the application.
• D. A Helm chart should be used for the application.

正解：D

解説：
To deploy a Kubernetes application with all its required resources packaged together, a tool that supports templating and variable management is needed. Let's analyze each option:
A . A YAML manifest should be used for the application.
Incorrect:
While YAML manifests are used to define Kubernetes resources, they do not provide a mechanism to package multiple resources or define variables at deployment time. Managing complex applications with plain YAML files can become cumbersome.
B . A Helm chart should be used for the application.
Correct:
Helm is a package manager for Kubernetes that allows you to define, install, and upgrade applications using charts . A Helm chart packages all the required resources (e.g., deployments, services, config maps) into a single unit and allows you to define variables (via values.yaml) that can be customized at deployment time.
C . An Ansible playbook should be run for the application.
Incorrect:
Ansible is an automation tool that can be used to deploy Kubernetes resources, but it is not specifically designed for packaging and deploying Kubernetes applications. Helm is better suited for this purpose.
D . Kubernetes imperative CLI should be used to run the application.
Incorrect:
Using imperative CLI commands (e.g., kubectl create) is not suitable for deploying complex applications. This approach lacks the ability to package resources or define variables, making it error-prone and difficult to manage.
Why Helm?
Packaging: Helm charts bundle all application resources into a single package, simplifying deployment and management.
Customization: Variables defined in values.yaml allow you to customize the deployment without modifying the underlying templates.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes tools for managing Kubernetes applications, including Helm. Understanding how to use Helm charts is essential for deploying and maintaining complex applications in Kubernetes environments.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking features, ensuring seamless operation of applications deployed via Helm charts.
Reference:
Helm Documentation: Charts
Juniper JNCIA-Cloud Study Guide: Kubernetes Application Management

質問 # 25
Click the Exhibit button.

You apply the manifest file shown in the exhibit.
Which two statements are correct in this scenario? (Choose two.)

• A. This manifest is used to create a deploymentConfig.
• B. The created pods are receiving traffic on port 80.
• C. This manifest is used to create a deployment.
• D. Four pods are created as a result of applying this manifest.

正解：B、C

解説：
The provided YAML manifest defines a Kubernetes Deployment object that creates and manages a set of pods running the NGINX web server. Let's analyze each statement in detail:
A . The created pods are receiving traffic on port 80.
Correct:
The containerPort: 80 field in the manifest specifies that the NGINX container listens on port 80 for incoming traffic.
While this does not expose the pods externally, it ensures that the application inside the pod (NGINX) is configured to receive traffic on port 80.
B . This manifest is used to create a deployment.
Correct:
The kind: Deployment field explicitly indicates that this manifest is used to create a Kubernetes Deployment .
Deployments are used to manage the desired state of pods, including scaling, rolling updates, and self-healing.
C . This manifest is used to create a deploymentConfig.
Incorrect:
deploymentConfig is a concept specific to OpenShift, not standard Kubernetes. In OpenShift, deploymentConfig provides additional features like triggers and lifecycle hooks, but this manifest uses the standard Kubernetes Deployment object.
D . Four pods are created as a result of applying this manifest.
Incorrect:
The replicas: 3 field in the manifest specifies that the Deployment will create three replicas of the NGINX pod. Therefore, only three pods are created, not four.
Why These Statements?
Traffic on Port 80:
The containerPort: 80 field ensures that the NGINX application inside the pod listens on port 80. This is critical for the application to function as a web server.
Deployment Object:
The kind: Deployment field confirms that this manifest creates a Kubernetes Deployment, which manages the lifecycle of the pods.
Replica Count:
The replicas: 3 field explicitly states that three pods will be created. Any assumption of four pods is incorrect.
Additional Context:
Kubernetes Deployments:
Deployments are one of the most common Kubernetes objects used to manage stateless applications. They ensure that the desired number of pod replicas is always running and can handle updates or rollbacks seamlessly.
Ports in Kubernetes:
The containerPort field in the pod specification defines the port on which the containerized application listens. However, to expose the pods externally, a Kubernetes Service (e.g., NodePort, LoadBalancer) must be created.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes concepts, including Deployments, Pods, and networking. Understanding how Deployments work and how ports are configured is essential for managing containerized applications in cloud environments.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking and security features for Deployments like the one described in the exhibit.
Reference:
Kubernetes Documentation: Deployments
Kubernetes Documentation: Pod Networking
Juniper JNCIA-Cloud Study Guide: Kubernetes Architecture

質問 # 26
Which OpenStack node runs the network agents?

• A. controller
• B. compute
• C. block storage
• D. object storage

正解：A

解説：
In OpenStack, network agents are responsible for managing networking tasks such as DHCP, routing, and firewall rules. These agents run on specific nodes within the OpenStack environment. Let's analyze each option:
A . block storage
Incorrect: Block storage nodes host the Cinder service, which provides persistent storage volumes for virtual machines. They do not run network agents.
B . controller
Incorrect: Controller nodes host core services like Keystone (identity), Horizon (dashboard), and Glance (image service). While some networking services (e.g., Neutron server) may reside on the controller node, the actual network agents typically do not run here.
C . object storage
Incorrect: Object storage nodes host the Swift service, which provides scalable object storage. They are unrelated to running network agents.
D . compute
Correct: Compute nodes run the Nova compute service, which manages virtual machine instances. Additionally, compute nodes host network agents (e.g., L3 agent, DHCP agent, and metadata agent) to handle networking tasks for VMs running on the node.
Why Compute Nodes?
Proximity to VMs: Network agents run on compute nodes to ensure efficient communication with VMs hosted on the same node.
Decentralized Architecture: By distributing network agents across compute nodes, OpenStack achieves scalability and fault tolerance.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers OpenStack architecture, including the roles of compute nodes and network agents. Understanding where network agents run is essential for managing OpenStack networking effectively.
For example, Juniper Contrail integrates with OpenStack Neutron to provide advanced networking features, leveraging network agents on compute nodes for traffic management.
Reference:
OpenStack Neutron Documentation: Network Agents
Juniper JNCIA-Cloud Study Guide: OpenStack Networking

質問 # 27
Which two statements about containers are true? (Choose two.)

• A. Containers package the entire runtime environment of an application, including its dependencies.
• B. Containers contain executables, libraries, configuration files, and an operating system.
• C. Containers share the use of the underlying system's kernel.
• D. Containers can only run on a system with a Type 2 hypervisor.

正解：A、C

解説：
Containers are a lightweight form of virtualization that enable the deployment of applications in isolated environments. Let's analyze each statement:
A . Containers contain executables, libraries, configuration files, and an operating system.
Incorrect: Containers do not include a full operating system. Instead, they share the host system's kernel and only include the application and its dependencies (e.g., libraries, binaries, and configuration files).
B . Containers package the entire runtime environment of an application, including its dependencies.
Correct: Containers bundle the application code, runtime, libraries, and configuration files into a single package. This ensures consistency across different environments and eliminates issues caused by differences in dependencies.
C . Containers can only run on a system with a Type 2 hypervisor.
Incorrect: Containers do not require a hypervisor. They run directly on the host operating system and share the kernel. Hypervisors (Type 1 or Type 2) are used for virtual machines, not containers.
D . Containers share the use of the underlying system's kernel.
Correct: Containers leverage the host operating system's kernel, which allows them to be lightweight and efficient. Each container has its own isolated user space but shares the kernel with other containers.
Why These Statements?
Runtime Environment Packaging: Containers ensure portability and consistency by packaging everything an application needs to run.
Kernel Sharing: By sharing the host kernel, containers consume fewer resources compared to virtual machines, which require separate operating systems.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes understanding containerization technologies, including Docker and Kubernetes. Containers are a fundamental component of modern cloud-native architectures.
For example, Juniper Contrail integrates with Kubernetes to manage containerized workloads, leveraging the lightweight and portable nature of containers.
Reference:
Docker Documentation: Container Basics
Juniper JNCIA-Cloud Study Guide: Containerization

質問 # 28
You want to limit the memory, CPU, and network utilization of a set of processes running on a Linux host.
Which Linux feature would you configure in this scenario?

• A. control groups
• B. virtual routing and forwarding instances
• C. slicing
• D. network namespaces

正解：A

解説：
Control groups (cgroups) is a Linux kernel feature that limits, accounts for, and isolates the CPU, memory, disk I/O, and network usage of one or more processes. It allows you to allocate resources among user-defined groups of processes running on a system. You can monitor the groups of processes, deny the groups of processes access to certain resources, or even freeze groups of processes.

質問 # 29
......

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