Certified Kubernetes Administrator (CKA) Proficiency (Advanced Level)

Topics covered

• describe the approach of using primary modes for finding a service supported by Kubernetes
• describe the concept and approaches of cloning existing CSI Volumes in Kubernetes
• describe the concept of DaemonSet and the patterns that can be used to communicate with Pods in a DaemonSet
• describe the features of nodes along with the recommended approach to provision and add nodes to Kubernetes clusters
• describe the goal of monitoring Kubernetes clusters and the differences between logging and monitoring
• describe the key Kubernetes deployment strategies and specify the elements of the manifest file for each deployment strategy
• describe the lifecycle of a Volume and Claim that reflects the interaction between PersistentVolume and PersistentVolumeClaim
• describe the process of upgrading Kubernetes clusters that are created using kubeadm
• describe the role of ConfigMaps and the different approaches of using ConfigMaps and configuring containers inside Pods
• describe the steps to list managed services and plans available from a service broker and provision a new instance of a managed service
• describe the use of StorageClass in Kubernetes and list the fields used to dynamically provision the PersistentVolume of a class
• list and describe the features of the prominent tools that are used for templating YAML in Kubernetes
• list the commands that can be used to troubleshoot components of Kubernetes clusters
• list the critical problems faced by administrators while managing Pods and describe the recommended approaches to fixing identified issues
• list the imperative commands that can be used to manage Kubernetes objects
• list the key elements that need to be monitored in a Kubernetes cluster and recall the differences between whitebox and blackbox monitoring
• list the prominent infrastructure components that need be provisioned to deploy Kubernetes clusters and their components
• list the resource types and resource units that are used in Kubernetes and describe how Pods with resource limits are executed
• list the types of Volumes that support Volume Expansion along with the Volume Binding modes of StorageClass
• name the critical issues that force a Pod to remain stuck in a pending state and result in an unschedulable Pod and describe the recommendations to avoid such critical issues
• outline the techniques that can be adopted to troubleshoot issues with etcd database
• recall the architecture of highly available Kubernetes and the benefits of multi-master high availability architecture
• recall the concept and different types of Kubernetes Secrets along with the different approaches of using Secrets in Pods
• recall the concept of VolumeSnapshot along with the role of VolumeSnapshotContent and VolumeSnapshot API resources in creating VolumeSnapshots for users and administrators
• recall the key considerations for Kubernetes deployment and recognize the pros and cons of some of the best known approaches for deploying Kubernetes
• recall the key features of the essential components that are used to implement automation of service accounts
• recognize Service Catalog features and the architecture of Service Catalog that needs to be configured to communicate with service brokers
• recognize the advantages and disadvantages of the different approaches for setting up highly available Kubernetes clusters
• recognize the critical errors in the configuration of Kubernetes resources and the common error messages that help troubleshoot configuration issues and eliminate errors
• recognize the Kubernetes cluster metrics that help reveal the resource utilization of the entire cluster and outline how to collect metrics from Kubernetes clusters and export them to external endpoints
• recognize the Kubernetes components that need to be investigated when planning troubleshooting
• recognize the role of Kubernetes Garbage Collector along with the approach that controls dependent objects
• recognize the workload resources that are used by Kubernetes to manage deployments and sets of Pods