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

Cluster API is a Kubernetes project that provides declarative APIs for cluster creation, configuration, and management. 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 platforms. VMware Tanzu Kubernetes Grid uses Cluster API to deploy and manage Kubernetes clusters on various platforms. The three Cluster API providers being used in VMware Tanzu Kubernetes Grid are:

• CAPZ: Cluster API Provider for Azure. This provider enables Cluster API to create Kubernetes clusters on Microsoft Azure4.
• CAPV: Cluster API Provider for vSphere. This provider enables Cluster API to create Kubernetes clusters on vSphere 6.7 or later5.
• CAPA: Cluster API Provider for AWS. This provider enables Cluster API to create Kubernetes clusters on Amazon Web Services5.

References: VMware Tanzu Kubernetes Grid Documentation, Taking Kubernetes to the People: How Cluster API Promotes Self … - VMware

A VM class in VMware vSphere with Tanzu specifies the CPU, memory, and resource reservations for a VM10. vSphere with Tanzu offers several preconfigured VM classes which you can use as is, edit, or delete. You can also create custom VM classes in your vCenter Server instance and it will be available to all Supervisor Clusters and the namespaces created in these clusters11.

When you create or edit a VM class, you can configure the following attributes:

• Name: A unique DNS compliant name that identifies the VM class.
• vCPU Count: The number of virtual CPUs (vCPUs) for a VM. This is a VM hardware configuration.
• CPU Resource Reservation: The guaranteed minimum CPU resource allocation for a VM. This value is expressed in percentage (%).
• Memory: The memory configured for a VM in MB, GB, or TB. This is a VM hardware configuration.
• Memory Resource Reservation: The guaranteed minimum memory resource allocation for a VM. This value is expressed in percentage (%).
• Storage: The storage configured for a VM in MB, GB, or TB. This is a VM hardware configuration.

The other options are incorrect because:

• Network is not an attribute that can be configured in a VM class. Network configuration is done at the namespace level by using network policies12.
• Operating system is not an attribute that can be configured in a VM class. Operating system configuration is done at the image level by using content libraries.
• PCI devices are not an attribute that can be configured in a VM class. PCI devices are not supported by vSphere with Tanzu.

References: VM Classes, Create a Custom VM Class, Network Policies, [Content Libraries]

Antrea is the default CNI for new Tanzu Kubernetes Grid workload clusters8. Antrea is an open-source Kubernetes networking solution that implements the Container Network Interface (CNI) specification and uses Open vSwitch (OVS) as the data plane9. Antrea supports various features such as network policies, service load balancing, NodePortLocal, IPsec encryption, IPv6 dual-stack, and more10.

The other options are incorrect because:

• Multus CNI is an open-source container network interface plugin for Kubernetes that enables attaching multiple network interfaces to pods11. It is not the default CNI for Tanzu Kubernetes Grid workload clusters.
• Flannel is an open-source simple and easy-to-use overlay network that satisfies the Kubernetes requirements12. It is not the default CNI for Tanzu Kubernetes Grid workload clusters.
• Calico is an open-source network and network security solution for containers, virtual machines, and native host-based workloads13. It is not the default CNI for Tanzu Kubernetes Grid workload clusters.

References: Tanzu Kubernetes Grid Cluster Networking, Antrea, Antrea Features, Multus CNI, Flannel, Calico