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

Question 1

You need to select an environment that will meet the business and data requirements.

Which environment should you use?

Options:

A.

Azure HDInsight with Spark MLlib

B.

Azure Cognitive Services

C.

Azure Machine Learning Studio

D.

Microsoft Machine Learning Server

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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 are with a time series dataset in Azure Machine Learning Studio.

You need to split your dataset into training and testing subsets by using the Split Data module.

Which splitting mode should you use?

Options:

A.

Regular Expression Split

B.

Split Rows with the Randomized split parameter set to true

C.

Relative Expression Split

D.

Recommender Split