True or False?
After creating and running a pipeline to train the model, you need a second pipeline that performs the same data transformations for new data, and then uses the trained model to predict label values based on its features.

Practice More Questions From: Test Prep 2

Q:

What features and capabilities are available in Azure Machine Learning?

Q:

True or False? After creating and running a pipeline to train the model, you need a second pipeline that performs the same data transformations for new data, and then uses the trained model to predict label values based on its features.

Q:

What type of compute resources can be created in Azure Machine Learning Studio?

Q:

You are creating a training pipeline for a regression model and you want to make sure that the dataset is complete, otherwise you need to perform various operations to fix the data. Which module should you add to the pipeline?

Q:

You are creating a training pipeline for a regression model and your dataset contains hundreds of columns. For a particular part of your model, you want to use data only from some specific columns. Which module should you add to the pipeline?

Q:

Which of the following scenarios can be resolved by using a regression model?

Q:

You created a machine learning model and trained it. Now you want to run the model to predict data. Which compute target should you use?

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