2V0-33.22 Exam Dumps - VMware VCP-VMC 2022 Questions and Answers

Compute Gateway (CGW) The CGW is a Tier 1 router that handles network traffic for workload VMs connected to routed compute network segments. Compute gateway firewall rules, along with NAT rules, run on the Tier 0 router. In the default configuration, these rules block all traffic to and from compute network segments (see Configure Compute Gateway Networking and Security).

https://docs.vmware.com/en/VMware-Cloud-on-AWS/services/vmc-on-aws-networking-security.pdf

The CGW is a Tier 1 router that handles network traffic for workload VMs connected to routed compute network segments. Compute gateway firewall rules, along with NAT rules, run on the Tier 0 router.

CloudHealth by VMware is a cloud cost governance platform that provides budget management, cost reporting, and cost forecasting from a single platform. It provides comprehensive visibility and control to manage cloud costs in hybrid and multi-cloud environments. CloudHealth by VMware also provides cost optimization, resource optimization, and real-time alerting capabilities to help organizations make cost-effective decisions to reduce cloud costs.

 Incident Management is responsible for handling customer incidents and ensuring customer satisfaction. Capacity Management is responsible for ensuring that the service is sized appropriately for customer needs and that the capacity is monitored to ensure that it meets customer requirements. VMware Tools management, Microsoft licensing management, and workload OS management are not part of the service management process.

What is a Hypervisor? | VMware Glossary

https://www.vmware.com/topics/glossary/content/hypervisor.html

VMware Cloud on AWS Operations Guide

https://docs.vmware.com/en/VMware-Cloud-on-AWS/services/vmc-aws-operations.pdf

What is a Bare Metal Hypervisor? | VMware Glossary

https://www.vmware.com/topics/glossary/content/bare-metal-hypervisor.html

• Total number of workloads. This determines how many hosts are needed in the VMware Cloud SDDC cluster.
• Total amount of available storage across all on-premises datastores. This determines how much storage capacity is needed in the VMware Cloud SDDC cluster.
• Average size of workload resources (CPU & RAM). This determines how much compute capacity is needed in the VMware Cloud SDDC cluster.

https://docs.vmware.com/en/VMware-Cloud/services/vmc-cloud-sizer-user/GUID-7CECF719-E56B-4830-84ED-77206A2A118D.html

https://docs.vmware.com/en/VMware-Cloud-on-AWS/services/com.vmware.vmc-aws-operations/GUID-961C4B32-6093-4C2E-AFE5-5B1F56BF4EEE.html

https://docs.vmware.com/en/VMware-Cloud-on-AWS/services/com.vmware.vmc-aws-operations/GUID-961C4B32-6093-4C2E-AFE5-5B1F56BF4EEE.html#:~:text=In%20a%20new%20SDDC%2C%20Elastic,AWS%20Availability%20Zone%20failure%20occurs .

 when you require high local storage requirements and additional cores for your workloads on VMware Cloud on AWS. i3.metal instances offer up to 4TB of local NVMe storage and up to 96 CPU cores, giving you the power and storage you need to handle large workloads. Additionally, i3.metal instances are great for applications that benefit from high CPU-to-memory ratios, like artificial intelligence, machine learning, big data analysis, and HPC workloads.

Tanzu Kubernetes clusters can be deployed in a VMware Cloud environment using the VMware Cloud Console. The VMware Cloud Console provides a user-friendly interface that allows users to quickly deploy and manage Tanzu Kubernetes clusters. The standard open-source kubectl can also be used to deploy Tanzu Kubernetes clusters. However, this requires a more in-depth knowledge of the kubectl command-line interface. Additionally, users can use the vSphere Plugin for kubectl to deploy and manage Tanzu Kubernetes clusters. This plugin provides a graphical user interface to manage the clusters, as well as additional features such as the ability to make cluster-level changes

https://docs.vmware.com/en/VMware-Tanzu-for-Kubernetes-Operations/1.4/tko-reference-architecture/GUID-deployment-guides-tanzu-standard-on-vmc-aws.html

According to the VMware official guide, VMware Tanzu Service Mesh is a cloud-native service mesh platform that simplifies the secure communication between microservices running in Kubernetes clusters . It provides secure and consistent network communication between services and enables policy-driven authorization and observability. With its distributed tracing capabilities, Tanzu Service Mesh can help administrators easily monitor and troubleshoot their applications. It also provides a unified platform to manage the lifecycle of Tanzu Kubernetes clusters, including provisioning, upgrades, patching, and more.

Management “and Server” network - 172.18.0.0/16

“and Server” being the 250 application servers.

https://docs.vmware.com/en/VMware-HCX/4.6/hcx-user-guide/GUID-DBDB4D1B-60B6-4D16-936B-4AC632606909.html

Detected and Restricted Source Network Types

The HCX Network Extension service detects and prevents several non-supported Network Extension scenarios (items are dimmed in the Network Extension UI):

• vSphere infrastructure networks (ESXi VMkernel networks).

https://docs.vmware.com/en/VMware-vSphere/7.0/vmware-vsphere-with-tanzu/GUID-4D0D375F-C001-4F1D-AAB1-1789C5577A94.html

Tanzu CLI is a command-line interface used to create, scale, upgrade, and delete workload clusters that are part of the Tanzu Kubernetes Grid [1]. Tanzu CLI also allows you to manage the components of the Tanzu Kubernetes Grid [1], such as the Tanzu Kubernetes cluster and the Tanzu Supervisor cluster. It also provides access to the Tanzu Kubernetes Grid extensions [1], which allow you to extend the functionality of the Tanzu Kubernetes cluster.

https://docs.vmware.com/en/VMware-Tanzu-CLI/index.html

https://kb.vmware.com/s/article/80949

Tanzu Kubernetes Grid (TKG) provides a command line tool called tkg-support-bundler which can be used to collect the necessary information and logs for troubleshooting and support cases. The command can be run on the TKG CLI and it will gather all the necessary information and logs from the TKG control plane and worker nodes, and package them into a single compressed bundle file. This bundle file can then be provided to VMware support for further analysis.