Which can be used to achieve a multi-tenant Cloud Pak for Data architecture on a single RedHat OpenShift cluster?
An energy company is creating an ML model to predict when there will be extra demand on the energy grid so preventative action can be taken to reduce usage leading up to the predicted event. The model is being monitored using OpenScale in Watson Studio.
Which action can be taken to ensure that they can identify when the model negatively affects certain locations based on the input data?
Which two types of custom workflows are supported by Watson Knowledge Catalog?
Which statement is true about drift in OpenScale?
Which statement is true about T-Shirt size scaling using Cloud Pak for Data?