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Designing and Implementing a Data Science Solution on Azure Questions and Answers

Question 1

You manage an Azure Machine Learning won pace named workspace 1 by using the Python SDK v2. You create a Gene-al Purpose v2 Azure storage account named mlstorage1. The storage account includes a pulley accessible container name micOTtalnerl. The container stores 10 blobs with files in the CSV format.

You must develop Python SDK v2 code to create a data asset referencing all blobs in the container named mtcontamer1.

You need to complete the Python SDK v2 code.

How should you complete the code? To answer select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

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Question 2

space and set up a development environment. You plan to train a deep neural network (DNN) by using the Tensorflow framework and by using estimators to submit training scripts.

You must optimize computation speed for training runs.

You need to choose the appropriate estimator to use as well as the appropriate training compute target configuration.

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

NOTE: Each correct selection is worth one point.

Options:

Question 3

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?

Options:

A.

exactly one text column and one or more label columns

B.

one or more text columns and exactly one label column

C.

one or more text columns and one or more label columns

D.

exactly one text column and exactly one label column