Which nodes in a standard Databricks cluster perform the processing and computational work?

What transformer must we apply to our features in order to apply a Spark ML random forest regression model on the data?

What would we typically use to compare our machine learning model runs in Databricks?

In Databricks, by default, runs are shared within the same experiment if...

What type of Data Frame would be typically used in a Jupyter Notebook within Azure ML?

What type of compute would you use for hosting a model to be used in a production Azure ML environment?

Which of these is a method for normalising data?

What type of model was trained in the Azure ML lab (the drag and drop pipeline)?