VMware 5V0-35.21 Exam With Confidence Using Practice Dumps

According to the VMware vRealize Operations Reference Materials, the High Availability feature in vRealize Operations cluster must be used for this requirement. The High Availability feature enables the cluster to tolerate one node failure without losing any data or functionality. The High Availability feature works by creating a replica node for each data node in the cluster, and synchronizing the data between them. The replica node acts as a standby node that can take over the role of the data node in case of a failure. The replica node can also serve as a load balancer to distribute the workload among the data nodes. The other options are incorrect because they do not meet the requirement or they are not supported by vRealize Operations. The Remote Collector option is not a cluster feature, but a type of node that can be used to collect data from remote sources and forward it to the cluster. The Remote Collector node does not store any data or perform any analysis, and it cannot replace a data node in case of a failure. The Continuous Availability option is a cluster feature that enables the cluster to tolerate multiple node failures without losing any data or functionality. However, the Continuous Availability feature requires at least two physical locations, and it is not supported for a single location. The Stretched Cluster option is not a cluster feature, but a configuration that allows a cluster to span across two physical locations. The Stretched Cluster option can provide high availability and disaster recovery, but it also requires additional network and storage configuration, and it is not supported for a single location. References: vRealize Operations Cluster and Node Maintenance; Adding High Availability to vRealize Operations; Adding Continuous Availability; Stretched Cluster

 A super metric is a custom metric that you can define using existing metrics and mathematical functions. They allow you to create new metrics that are specific to your environment and can help you gain deeper insights into the performance and health of your infrastructure1. Before enabling a super metric in a policy, you need to associate it to an object type. An object type is a category of objects that share common characteristics, such as hosts, virtual machines, clusters, datastores, etc. By associating a super metric to an object type, you can calculate the super metric for all the objects of that type and display it in the dashboards and reports2. For example, if you create a super metric that calculates the average CPU usage of all the virtual machines in a cluster, you need to associate it to the cluster object type. Then, you can enable the super metric in a policy and apply it to the cluster object or group. This way, you can monitor the average CPU usage of the cluster as a super metric3. References: 1: Configuring Super Metrics 2: Metrics and Properties Details 3: Supercharge Your vRealize Operations with Super Metrics

vRealize Operations provides the following three key benefits within an environment:

• Capacity optimization: vRealize Operations helps you optimize the capacity of your infrastructure and applications by providing visibility, analysis, planning, and automation. You can monitor and forecast the demand, supply, and utilization of resources, identify and reclaim unused or overprovisioned resources, balance the workload across clusters and datastores, and plan for future growth or consolidation scenarios. You can also automate the capacity optimization actions based on policies and alerts.
• Performance optimization: vRealize Operations helps you optimize the performance of your infrastructure and applications by providing real-time and historical metrics, alerts, dashboards, and reports. You can monitor and troubleshoot the health, risk, and efficiency of your environment, identify and resolve performance issues, analyze the root cause and impact of problems, and optimize the configuration and placement of your workloads. You can also automate the performance optimization actions based on policies and alerts.
• Monitoring and troubleshooting: vRealize Operations helps you monitor and troubleshoot your environment by providing comprehensive and integrated visibility across physical, virtual, and cloud infrastructures. You can collect and analyze data from various sources, such as vSphere, NSX, vSAN, Kubernetes, AWS, Azure, etc., and correlate them to provide a unified view of your environment. You can also leverage artificial intelligence and machine learning to detect anomalies, generate smart alerts, and provide recommendations. You can also use various tools, such as dashboards, heat maps, topology maps, logs, etc., to drill down into the details and resolve issues faster.

References: vRealize Operations Overview; vRealize Operations Cloud for Service Providers; What’s New in vRealize Operations 8.6