5V0-35.21 Exam Dumps : VMware vRealize Operations Specialist

 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 two types of pricing cards, cost-based and rate-based, to calculate the price associated with your virtual infrastructure. You can assign pricing cards to vCenters or Clusters, depending on the pricing strategy determined by vRealize Operations administrator. The pricing cards help you to set the price for each resource present in your virtual environment. You can customize the pricing card as per your requirement.

• Cost-based pricing card: A cost-based pricing card calculates the price based on the cost of the resources defined in vRealize Operations. You can specify a multiplication factor for each resource type, such as CPU, memory, storage, etc., to adjust the price according to your business needs. The price equation using cost is:  x = Price
• Rate-based pricing card: A rate-based pricing card calculates the price based on the rate of the resources defined by you. You can specify a rate for each resource type, such as CPU, memory, storage, etc., in terms of units, such as MHz, GB, etc. You can also specify the charging period and the power state for each resource type.The price equation using rate is:  x = Price

References: Pricing Overview; Add New Pricing Card

Expected Utilization is the workload option that should be included in the scenario to simulate 25% utilization of the resources. Expected Utilization is a percentage value that indicates how much of the allocated resources (CPU, memory, and storage) are expected to be used by the workload. By setting the Expected Utilization to 25%, the administrator can model the impact of adding or removing a workload that consumes 25% of the resources in the datacenter. Memory, Annual Projected Growth, and CPU are not workload options, but workload attributes. Memory and CPU are the amount of resources allocated to the workload, and Annual Projected Growth is the percentage by which the workload is expected to grow each year. These attributes do not directly specify the utilization of the resources by the workload. References: What-If Analysis - Workload Planning: Traditional, section “How What-If Analysis - Workload Planning: Traditional Works”. vRealize Operations Manager User Guide, section “Create and Configure Dashboards”.