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A company is looking to leverage machine learning and data science for self-reporting and analysis of customer churn. Which option has the greatest potential to give them a head start with implementation and leveraging Cloud Pak for Data?
Which two endpoints must be exposed in a custom machine learning engine for Watson OpenScale to be able to work with it?
Which statement describes the process to integrate Cloud Pak for Data with Guardium?
Which can be used to achieve a multi-tenant Cloud Pak for Data architecture on a single RedHat OpenShift cluster?
