2V0-71.23 Exam Dumps : VMware Tanzu for Kubernetes Operations Professional

The statement that correctly describes the Cluster API is that it is a specialized toolset to bring declarative, Kubernetes-style APIs to cluster creation, configuration, and management in theKubernetes ecosystem. Cluster API is a Kubernetes sub-project that provides declarative APIs and tooling to simplify provisioning, upgrading, and operating multiple Kubernetes clusters5. Cluster API uses a set of custom resource definitions (CRDs) to represent clusters, machines, and other objects. Cluster API also relies on providers to implement the logic for interacting with different infrastructure platforms5. References: Introduction - The Cluster API Book

A rolling upgrade is a method of upgrading a Kubernetes cluster without downtime by gradually replacing nodes or components with newer versions. A rolling upgrade ensures that there is no disruption to the availability and functionality of the cluster during the upgrade process. A rolling upgrade can be performed manually or using tools such as kubeadm or kops5.

The other options are incorrect because:

• In-place upgrade of each node is a method of upgrading a Kubernetes cluster by stopping each node or component and updating it to the newer version. This method can cause downtime and disruption to the cluster during the upgrade process.
• Use canary upgrade is not a valid method of upgrading a Kubernetes cluster. A canary upgrade is a technique for deploying new versions of applications or services by gradually exposing them to a subset of users or traffic before rolling them out to everyone6. It is not applicable to cluster upgrades.
• Deploy a new cluster with upgraded Kubernetes release is not a method of upgrading a Kubernetes cluster, but rather creating a new one. This method canbe costly and time-consuming, as it requires migrating all the resources and configurations from the old cluster to the new one.

References: Upgrade A Cluster, Canary deployments

Kubernetes observability is the ability to monitor and analyze the performance, health, and behavior of Kubernetes clusters and applications. It provides visibility into Kubernetes clusters for troubleshooting and impact assessment, by collecting logs, events, traces, and alerts from various sources. It also collects real-time metrics from all layers of Kubernetes, such as nodes, pods, containers, services, and network policies, and displays them in dashboards and charts. Kubernetes observability helps administrators and developers to identify and resolve issues, optimize resource utilization, and ensure service quality and reliability. References: VMware Tanzu Observability Documentation, What is Kubernetes Observability?