SAP C_KYMD_01 Exam With Confidence Using Practice Dumps

 A Persistent Volume Claim (PVC) is a request for storage by a user. It is similar to a Pod, which is a request for compute resources by a user. A PVC enables a Pod to consume a slice of the available storage in the cluster without knowing the details of the underlying storage infrastructure. A PVC is associated with a StorageClass, which defines the type and characteristics of the storage. A PVC is also bound to a Persistent Volume (PV), which is an abstraction of the physical or cloud-based storage resource. A PV is created by the cluster administrator and has a lifecycle independent of any Pod. A PVC can specify the size, access mode, and storage class of the PV it requires. Before deploying an application that needs persistent state, a user must create a PVC for the Pod that will run the application. The PVC will then be automatically bound to a suitable PV by the cluster, or dynamically provisioned if the storage class supports it. The Pod can then mount the PVC as a volumeand access the persistent storage12345. References: Persistent Volumes | Kubernetes, How Kubernetes Persistent Volume Claims Work - CBT Nuggets, Exploring Kubernetes Storage: Persistent Volumes and Persistent Volume Claims - Atatus, Configure a Pod to Use a PersistentVolume for Storage | Kubernetes, kubernetes - How to mount a persistent volume on a Deployment/Pod using PersistentVolumeClaim? - Stack Overflow.

Kubernetes pods are the smallest deployable units of computing that you can create and manage in Kubernetes. A pod is a group of one or more containers, with shared storage and network resources, and a specification for how to run the containers. Pods are the atomic unit on the Kubernetes platform. Pods are not permanent units in Kubernetes. They can be terminated and replaced anytime, either by the user or by the system. Pods are ephemeral and disposable entities that are created and destroyed dynamically. Pods can be scaled up or down, migrated across nodes, or rescheduled due to failures or maintenance. Pods cannot contain deployments. Deployments are higher-level resources that manage pods and provide declarative updates to them. A deployment can create multiple pods from the same template and ensure that the desired number of pods are always available. A pod can only contain containers and volumes, not other Kubernetes resources. References: Pods | Kubernetes, Viewing Pods and Nodes | Kubernetes, What is a Kubernetes pod? - Red Hat, What are Pods in Kubernetes? - Medium, Network overview | Google Kubernetes Engine (GKE) | Google Cloud.

kubectl is a command-line tool that allows you to run commands against Kubernetes clusters1. You can use kubectl in SAP BTP, Kyma runtime for the following purposes:

• To run interactive commands. kubectl supports various commands that let you interact with your cluster resources, such as creating, updating, deleting, describing, or executing them. For example, you can use kubectl create to create a resource from a file or kubectl exec to run a command in a container2.
• To view pod logs. kubectl allows you to view the logs of a pod or a container in a pod using the kubectl logs command. This can help you troubleshoot issues or monitor the pod activity3.
• To forward ports from remote machines to pods. kubectl enables you to forward one or more local ports to a pod using the kubectl port-forward command. This can allow you to access a pod from your local machine for debugging or testing purposes4.

References:

• 1: Kubernetes / Overview of kubectl
• 2: Kubernetes / kubectl Cheat Sheet
• 3: Kubernetes / Viewing logs
• 4: Kubernetes / Use Port Forwarding to Access Applications in a Cluster