Two statements about the NSX Advanced Load Balancer are correct:

• It can be configured as the VIP endpoint for the management cluster on vSphere. The VIP endpoint is the IP address that clients use to access the Kubernetes API server on the management cluster. By default, this IP address is assigned by DHCP, but it can also be configured manually or by using a load balancer. Using a load balancer provides high availability and scalability for the VIP endpoint. NSX Advanced Load Balancer can be used as the load balancer provider for the VIP endpoint by creating a virtual service that points to the control plane nodes of the management cluster5.
• It can be configured as a load balancer for workloads in the clusters that are deployed on vSphere. Workload clusters are Kubernetes clusters that run user workloads on vSphere with Tanzu. Workload clusters require a load balancer to expose services of type LoadBalancer to external clients. NSX Advanced Load Balancer can be used as the load balancer provider for workload clusters by deploying an Avi Kubernetes Service (AKS) pod on each cluster node. The AKS pod acts as an ingress controller that communicates with the NSX Advanced Load Balancer Controller and creates virtual services for each service of type LoadBalancer6.

The other options are incorrect because:

• It can only be used if Antrea CNI is installed on the workload cluster is false. Antrea is one of the supported Container Network Interface (CNI) plugins for workload clusters on vSphere with Tanzu, but it is not mandatory to use it with NSX Advanced Load Balancer. Other CNI plugins, such as Calico or Flannel, can also work with NSX Advanced Load Balancer7.
• It only supports the service type LoadBalancer is false. NSX Advanced Load Balancer supports other service types as well, such as ClusterIP and NodePort. These service types can be used to expose services within or across clusters without requiring an external load balancer8.
• It is natively integrated with Tanzu Kubernetes Grid Amazon Web Services EC2 deployments is false. NSX Advanced Load Balancer is not natively integrated with Tanzu Kubernetes Grid Amazon Web Services EC2 deployments. Tanzu Kubernetes Grid on AWS uses the AWS Elastic Load Balancing service as the default load balancer provider for both management and workload clusters9.

References: Configure the VIP Endpoint for the Management Cluster, Deploy and Configure NSX Advanced Load Balancer as a Load Balancer for Workload Clusters, Supported CNI Plugins, Service Types, Load Balancing on AWS

The key benefit of Tanzu Service Mesh Autoscaler feature is to autoscale microservices that meet changing levels of demand based on metrics, such as CPU or memory usage. These metrics are available to Tanzu Service Mesh without needing additional code changes or metrics plugins1. Tanzu Service Mesh Autoscaler supports configuring an autoscaling policy for services inside a global namespace through the UI or API, or using a Kubernetes custom resource definition (CRD) for services directly in cluster namespaces2. Tanzu Service Mesh Autoscaler also supports two modes: performance mode, where services are scaled up but not down, and efficiency mode, where services are scaled up and down to optimize resource utilization2. References: VMware Aria Operations for Applications, Tanzu Service Mesh Service Autoscaling Overview - VMware Docs

Contour is an open-source Kubernetes ingress controller that provides dynamic configuration updates and makes use of the Envoy proxy as a data plane1. Envoy is an open-source edge and service proxy that can handle large volumes of network traffic between services in a cloud-native environment2. Contour leverages Envoy’s advanced features such as load balancing, health checking, dynamic service discovery, circuit breaking, rate limiting, and more3. Contour also integrates with Envoy’s external authorization filter to support external authentication and authorization providers4.

The other options are incorrect because:

• NSX Load Balancer is a VMware solution that provides L4 and L7 load balancing and ingress control for Kubernetes clusters5. It is not the data plane for Contour.
• Istio is an open-source service mesh that provides a uniform way to connect, secure, control, and observe services in a distributed system6. It is not the data plane for Contour.
• Prometheus is an open-source systems monitoring and alerting toolkit that can collect metrics from various sources, including Kubernetes clusters7. It is not the data plane for Contour.

References: Contour Overview, Envoy Overview, Contour Architecture, External Authorization Support, NSX Advanced Load Balancer, Istio Overview, Prometheus Overview

Two valid options for obtaining kubectl config file in Tanzu Kubernetes environment are:

• Download from vSphere UI: For Tanzu Kubernetes clusters that are deployed on vSphere with Tanzu, you can download the kubeconfig file from the vSphere UI by selecting the cluster and clicking on the Download kubeconfig button1. This file contains the credentials and connection information for the cluster, which you can use to access it with kubectl1.
• Access from VMware Tanzu Mission Control: For Tanzu Kubernetes clusters that are attached or provisioned by VMware Tanzu Mission Control, you can access the kubeconfig file from the Tanzu Mission Control console by selecting the cluster and clicking on the Access this cluster button2. This will generate a YAML file that you can download and use to connect to the cluster with kubectl2.

References: Download a Kubeconfig File for a Tanzu Kubernetes Cluster - VMware Docs, Connect to a Managed Cluster with kubectl - VMware Docs

A tool that can be used to backup and restore workloads on clusters provisioned by the VMware Tanzu Kubernetes Grid Service is the Velero Plugin for VMware vSphere. The Velero Plugin for VMware vSphere is an extension of Velero, an open source tool that performs backup and restore of Kubernetes resources and persistent volumes5. The plugin leverages the snapshot capabilities of vSphere to create backups of Kubernetes workloads running on vSphere-managed infrastructure, such as VMware Cloud on AWS or VMware Cloud on Dell EMC5. The plugin also supports restoring backups to the same or different clusters, as well as migrating workloads across clusters5. References: Velero Plugin for VMware vSphere Documentation

To create a vSphere Namespace, the correct steps are to use the vSphere web client, select Workload Management, select Namespaces tab, and click Create Namespace. A vSphere Namespace is a logical grouping of Kubernetes resources that can be used to isolate and manage workloads on a Supervisor Cluster1. To create a vSphere Namespace, a user needs to have the vSphere Client and the required privileges to access the Workload Management menu and the Namespaces tab2. From there, the user can select the Supervisor Cluster where to place the namespace, enter a name for the namespace, configure the network settings, set the resource limits, assign permissions, and enable services for the namespace2. References: Create and Configure a vSphere Namespace - VMware Docs, vSphere with Tanzu Concepts - VMware Docs

Three capabilities that are supported by VMware Aria Operations for Applications (formerly VMware Tanzu Observability) are:

• Unified log management: Users can browse logs to troubleshoot their issues, for example, if they notice anomalies on their metrics charts or see that a service on the application map has large latency value. Users can also drill into related logs directly from charts, alerts, and traces2.
• Event tracing: Users can work with a service map, examine traces and spans, and drill down into problem areas in their code. Users can also view traces and spans from a single source of truth across logs, metrics, and traces1.
• Out-of-the-box and user-configurable dashboards: Users can visualize their data based on query results in various chart types (such as line plot, point plot, table, pie chart, etc.) and organize them in dashboards. Users can also interact with charts and dashboards in real time, such as zoom in, zoom out, change the time window, change the focus, and so on1.

References: VMware Aria Operations for Applications Documentation, VMware Aria Operations for Applications