DP-100 Exam Dumps : Designing and Implementing a Data Science Solution on Azure

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You create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:

• /data/2018/Q1.csv

• /data/2018/Q2.csv

• /data/2018/Q3.csv

• /data/2018/Q4.csv

• /data/2019/Q1.csv

All files store data in the following format:

id,f1,f2i

1,1.2,0

2,1,1,

1 3,2.1,0

You run the following code:

You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:

Solution: Run the following code:

Does the solution meet the goal?

You have an Azure subscription that contains a resource group named rg-ml.

You plan to create an Azure Machine Learning workspace named workspacel in rg-ml by using Azure Machine Learning Python SDK v2.

You need to ensure workspacel is configured to prevent the collection of potentially sensitive data by Microsoft diagnostics.

How should you complete the provided code? To answer, select the appropnate options in the answer area.

NOTE: Each correct selection is worth one point.

You use Azure Machine Learning designer to create a training pipeline for a regression model.

You need to prepare the pipeline for deployment as an endpoint that generates predictions asynchronously for a dataset of input data values.

What should you do?