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".

A super metric is a mathematical formula that contains one or more metrics or properties for one or more objects. It can be used to create custom metrics that are specific to your environment and can help you gain deeper insights into the performance and health ofyour infrastructure1. Super metrics can be applied to any object type that contains the objects or metrics involved in the formula2.
Option A is a valid super metric, as it calculates the average CPU usage of VMs within a Datacenter, which is an object type that contains VMs as child objects. The formula for this super metric could be something like avg(${this, metric=cpu|usage_average, depth=1}), which means the average of the CPU usage average metric for all the child objects of the current object3.
Option D is also a valid super metric, as it counts the number of Non-Windows VMs in a vSphere cluster, which is an object type that contains VMs as child objects. The formula for this super metric could be something like count(${this, metric=guestfilesystem|osType, depth=1, where=not contains windows}), which means the count of the guest OS type metric for all the child objects of the current object, where the value does not contain the word windows3.
Option B is not a valid super metric, as it involves the difference of CPU utilization for each VM between two defined time stamps, which is not a metric or property that can be used in a super metric formula. Super metrics can only use metrics or properties that are collected by vRealize Operations, not arbitrary time stamps2.
Option C is not a valid super metric, as it involves string operators that are valid to be used with mathematical calculations in a function, which is not a metric or property that can be used in a super metric formula. Super metrics can only use numerical values, not string values, in mathematical calculations2.
Option E is not a valid super metric, as it involves the average SCSI count with disk size of VMs within an ESXi host, which is not a metric or property that can be used in a super metric formula. Super metrics can only use metrics or properties that are available for the object type that the super metric is assigned to, and the SCSI count and disk size are not available for the ESXi host object type2.
References:
My Top 15 vRealize Operations Super Metrics - VMware Blogs
Configuring Super Metrics - VMware Docs
vRealize Operations 8.10 - Create Super Metric - Virtualization Blog