5V0-35.21 Exam Dumps : VMware vRealize Operations Specialist

vRealize Operations allows for different node sizes when deploying a cluster to suit various environments and scalability needs. The sizes typically include Small, Medium, and Large, and these sizes determine the capacity and performance of each node in a High Availability configuration.

References:

• About vRealize Operations Cluster Nodes
• High Availability (HA)
• vRealize Operations 8.6.0, 8.6.1, and 8.6.2 Sizing Guidelines

 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

According to the VMware vRealize Operations Reference Materials, the Wait Cycle and the Cancel Cycle are the settings that determine how long a symptom condition must be true or false before the symptom is triggered or cancelled. The default cycle for both settings is 5 minutes, which means that each cycle corresponds to one collection interval of 5 minutes. Therefore, if a symptom has a Wait Cycle of 3 and a Cancel Cycle of 2, it will take 15 minutes (3 cycles x 5 minutes) for the symptom to be triggered after the condition becomes true, and 10 minutes (2 cycles x 5 minutes) for the symptom to be cancelled after the condition becomes false. The other options are incorrect because they do not match the calculation based on the given settings and the default cycle. References: Symptom Definition Settings; Alert Definition Best Practices