5V0-35.21 Exam Dumps - VMware vRealize Operations - Cloud Management Automation 2023 Questions and Answers

Custom groups are collections of objects that you define based on criteria that you specify. You can use custom groups to assign different vRealize Operations policies to a particular set of objects that share common characteristics or belong to a specific business unit1. Custom groups allow you to override the default policy settings for the objects in the group and apply a different policy that suits your requirements2. For example, you can create a custom group of ESXi clusters that run database servers and assign a different capacity policy to them than the rest of the clusters in your environment2. References: = 1 Managing Custom Object Groups in vRealize Operations - VMware Docs, 2 Policies - VMware Docs

 The Troubleshooting Workbench is a feature in vRealize Operations that helps you perform advanced troubleshooting tasks on an alert or an object. You can look for potential evidences of a problem within a specific scope and time range. The potential evidences are based on three types of data: Alerts, Events, and Property Changes. Alerts show the active and inactive alerts that are related to the object or its peers. Events show the events that are based on a change in the metrics, such as spikes, drops, or anomalies. Property Changes show the changes in the configuration or properties of the object or its peers, such as CPU, memory, or disk allocation. These types of data help you identify the root cause of the issue and take corrective actions. Symptoms and Anomalous Metrics are not considered as potential evidence in the Troubleshooting Workbench, although they may be used to trigger alerts or events. Logs are not displayed in the Troubleshooting Workbench, but they can be accessed from the Logs tab of the object. References: Discovering Potential Evidences Using the Troubleshooting Workbench, Solving Real Problems with vRealize Operations TroubleshootingWorkbench, Troubleshooting Workbench Home Page, vROps 8.0 Troubleshooting Workbench and Blue Medora

 According to the vRealize Operations Sizing Guidelines, the supported node configurations during installation are Large, Very Large, and Medium. These are the default configurations that VMware offers based on the number of objects and metrics to be monitoredby vRealize Operations. Each configuration has a different amount of vCPU, memory, disk space, and network requirements. The administrator can choose the configuration that best suits the existing infrastructure and the expected growth of the environment1.

The other options are not supported node configurations during installation. Tiny and Small are not valid configurations for vRealize Operations 8.x and later versions. These configurations were available for vRealize Operations 6.x and 7.x versions, but they are not recommended for production environments due to their limited capacity and performance2. No limit is not a configuration option, but a statement that indicates that there is no upper limit on the number of nodes that can be added to a vRealize Operations cluster. However, the number of nodes depends on the node configuration, the network latency, and the data source type3.

References: 1: vRealize Operations 8.0.x Sizing Guidelines (75162) - VMware 2: vRealize Operations Manager 7.5 Sizing Guidelines (67752) 3: vRealize Operations 8 - VMware Docs

Removing the corrupted node, and then disabling and re-enabling vRealize Operations Manager High Availability to reassign the primary replica role to another existing node in the cluster is the correct way to resolve the availability issue within vRealize Operations Manager. This method ensures that the cluster can continue to operate with high availability and continuous availability, as the primary replica node is responsible for providing critical services that cannot be replicated across all cluster nodes, such as Global xDB, NTP server, and GemFire locator. By removing the corrupted node, the administrator can prevent any further issues or conflicts with the cluster configuration. By disabling and re-enabling vRealize Operations Manager High Availability, the administrator can trigger the cluster to select a new primary replica node from the existing data nodes, and synchronize the data and services with the primary node. Deploying a new vRealize Operations Manager node, and then adding it to the existing cluster is not a valid option, as it does not address the primary replica role assignment, and may cause additional problems with the cluster configuration. Cloning an existing primary vRealize Operations Manager node, and then adding it into the vRealize Operations Manager cluster is not a feasible option, as it may result in duplicate node IDs, IP addresses, and hostnames, and may cause conflicts with the cluster configuration. Asking the backup administrator to restore the corrupted primary replica node, and then refreshing the nodes from thevRealize Operations Manager administrator interface is not a reliable option, as it may take a long time to restore the node, and may not guarantee the consistency and integrity of the data and services on the node. References: Remove a Node from a Cluster, section “Remove a Node from a Cluster”. About vRealize Operations Cluster Nodes, section “About vRealize Operations Cluster Nodes”. vRealize Operations Manager User Guide, section “Create and Configure Dashboards”.

 The reason why vRealize Operations reports that the cluster has 0 days remaining when the actual CPU overcommit ratio is less than the 4:1 configured value is that the CPU demand in the cluster is greater than the total CPU capacity. The allocation model is a method of calculating the capacity and utilization of resources based on the amount of resources that are allocated to the objects, such as virtual machines, clusters, or datastores. The allocation model allows the administrator to set the overcommit ratio for CPU, memory, or disk space, which is the ratio of the allocated resources to the available resources. The overcommit ratio determines how much the resources can be overcommitted without affecting the performance or availability of the objects1.

When the administrator enables the allocation model in a policy and sets the CPU overcommit ratio to 4:1 for all vSphere clusters in a vSphere datacenter, it means that the administrator allows the CPU resources to be allocated four times more than the availableCPU resources in the clusters. For example, if a cluster has 100 GHz of CPU capacity, the administrator can allocate up to 400 GHz of CPU resources to the virtual machines in the cluster. However, this does not mean that the virtual machines can consume up to 400 GHz of CPU resources without any impact. The actual CPU consumption of the virtual machines depends on the CPU demand, which is the amount of CPU resources that the virtual machines require to run their workloads. The CPU demand can vary depending on the workload type, intensity, and pattern2.

If the CPU demand in the cluster is greater than the total CPU capacity, it means that the virtual machines are requesting more CPU resources than the cluster can provide. This can result in CPU contention, performance degradation, and SLA violations. In this case, vRealize Operations reports that the cluster has 0 days remaining, which means that the cluster has reached its maximum capacity and cannot accommodate any more CPU demand. The cluster has 0 days remaining even if the actual CPU overcommit ratio is less than the 4:1 configured value, because the overcommit ratio only reflects the allocated resources, not the consumed resources. The overcommit ratio does not guarantee that the cluster can support the CPU demand of the virtual machines, but only indicates the potential capacity of the cluster based on the allocation model1.

References: 1: Allocation Model - VMware Docs 2: Demand Model - VMware Docs