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

Question 1

You build a data pipeline in an Azure Machine Learning workspace by using the Azure Machine Learning SDK for Python.

You need to run a Python script as a pipeline step.

Which two classes could you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

PythonScriptStep

B.

AutoMLStep

C.

CommandStep

D.

StepRun

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Question 2

You are analyzing a dataset containing historical data from a local taxi company. You arc developing a regression a regression model.

You must predict the fare of a taxi trip.

You need to select performance metrics to correctly evaluate the- regression model.

Which two metrics can you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

an F1 score that is high

B.

an R Squared value dose to 1

C.

an R-Squared value close to 0

D.

a Root Mean Square Error value that is high

E.

a Root Mean Square Error value that is low

F.

an F 1 score that is low.

Question 3

You are using an Azure Machine Learning workspace. You set up an environment for model testing and an environment for production.

The compute target for testing must minimize cost and deployment efforts. The compute target for production must provide fast response time, autoscaling of the deployed service, and support real-time inferencing.

You need to configure compute targets for model testing and production.

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

NOTE: Each correct selection is worth one point.

Options: