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Designing and Implementing a Data Science Solution on Azure

Last Update Mar 18, 2023
Total Questions : 311

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

Questions 1

You use Azure Machine Learning to train a model based on a dataset named dataset1.

You define a dataset monitor and create a dataset named dataset2 that contains new data.

You need to compare dataset1 and dataset2 by using the Azure Machine Learning SDK for Python.

Which method of the DataDriftDetector class should you use?










Questions 2

You must store data in Azure Blob Storage to support Azure Machine Learning.

You need to transfer the data into Azure Blob Storage.

What are three possible ways to achieve the goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.



Bulk Insert SQL Query




Python script


Azure Storage Explorer


Bulk Copy Program (BCP)

Questions 3

You have a Jupyter Notebook that contains Python code that is used to train a model.

You must create a Python script for the production deployment. The solution must minimize code maintenance.

Which two actions should you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.



Refactor the Jupyter Notebook code into functions


Save each function to a separate Python file


Define a main() function in the Python script


Remove all comments and functions from the Python script