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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 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:

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.