DP-100 Exam Dumps : Designing and Implementing a Data Science Solution on Azure

You have an Azure Machine Learning workspace.

You plan to use automated machine learning in the workspace to train a natural language processing model for multi-class classification. You need to provide a dataset for training the model. How should you format the data?

You need to resolve the local machine learning pipeline performance issue. What should you do?

You plan to implement an Azure Machine Learning solution. You have the following requirements:

• Run a Jupyter notebook to interactively tram a machine learning model.

• Deploy assets and workflows for machine learning proof of concept by using scripting rather than custom programming.

You need to select a development technique for each requirement

Which development technique should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.