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

Question 1

You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets.

How should you configure the module properties? To answer, select the appropriate options in the dialog box in the answer area.

NOTE: Each correct selection is worth one point.

Options:

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Question 2

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

Question 3

You have an Azure Machine Learning (ML) model deployed to an online endpoint.

You need to review container logs from the endpoint by using Azure Ml Python SDK v2. The logs must include the console log from the inference server with print/log statements from the models scoring script.

What should you do first?

Options:

A.

Create an instance of the the MLCIient class.

B.

Create an instance of the OnlineDeploymentOperations class.

C.

Connect by using SSH to the inference server.

D.

Connect by using Docker tools to the inference server.