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

Question 1

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.

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Question 2

You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi-class image classification deep learning model that uses a set of labeled bird photographs collected by experts.

You have 100,000 photographs of birds. All photographs use the JPG format and are stored in an Azure blob container in an Azure subscription.

You need to access the bird photograph files in the Azure blob container from the Azure Machine Learning service workspace that will be used for deep learning model training. You must minimize data movement.

What should you do?

Options:

A.

Create an Azure Data Lake store and move the bird photographs to the store.

B.

Create an Azure Cosmos DB database and attach the Azure Blob containing bird photographs storage to the database.

C.

Create and register a dataset by using TabularDataset class that references the Azure blob storagecontaining bird photographs.

D.

Register the Azure blob storage containing the bird photographs as a datastore in Azure Machine Learning service.

E.

Copy the bird photographs to the blob datastore that was created with your Azure Machine Learningservice workspace.

Question 3

You manage an Azure Machine Learning workspace. The Pylhon scrip! named scriptpy reads an argument named training_data. The trainlng.data argument specifies the path to the training data in a file named datasetl.csv.

You plan to run the scriptpy Python script as a command job that trains a machine learning model.

You need to provide the command to pass the path for the datasct as a parameter value when you submit the script as a training job.

Solution: python script.py –training_data dataset1,csv

Does the solution meet the goal?

Options:

A.

Yes

B.

No