Questions

1. What is a Jupyter Notebook?
   1. An IDE in which to develop Azure ML or SageMaker analytics
   2. A general-purpose interactive IDE for Python and other languages
   3. A notebook used by NASA
2. Which one of the following steps is more appropriate to deploy analytics on Azure ML, SageMaker, or GCP Analytics?
   1. Prepare the data, train the model, test the model, deploy the model
   2. Prepare the data, build the model, deploy the model, monitor the model
   3. Prepare the data, build the model, (train the model, test the model), deploy the model, monitor the model
3. What is the basic idea of SageMaker and Azure ML?
   1. To build the model as a web application on a containerized application
   2. To learn the model using FPGA and GPU
   3. To allocate a computational cluster in which to test the analytics