5V0-35.21 Exam Dumps : VMware vRealize Operations Specialist

 According to the VMware vRealize Operations Reference Materials, the cloud provider that needs to be added as a custom cloud provider when running a What-If Analysis is Oracle Cloud. The What-If Analysis feature allows the administrator to compare the cost and performance of running workloads in different public cloud providers, such as AWS, IBM Cloud, Microsoft Azure, Google Cloud, and Alibaba Cloud. These public cloud providers are supported out-of-the-box in vRealize Operations, and the administrator can select them from the predefined list when creating a migration scenario. However, if the administrator wants to compare the cost and performance of running workloads in Oracle Cloud, they need to add it as a custom cloud provider, and upload a rate card that contains the pricing information for Oracle Cloud services. The other options are incorrect because they are supported out-of-the-box in vRealize Operations, and they do not need to be added as a custom cloud provider when running a What-If Analysis. References: What-If-Analysis - Migration Planning: Public Cloud; VMware vRealize Operations What-If Analysis; VMware vRealize Operations for Public Cloud

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

 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