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

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

Question 1

space and set up a development environment. You plan to train a deep neural network (DNN) by using the Tensorflow framework and by using estimators to submit training scripts.

You must optimize computation speed for training runs.

You need to choose the appropriate estimator to use as well as the appropriate training compute target configuration.

Which values should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

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Question 2

You need to resolve the local machine learning pipeline performance issue. What should you do?

Options:

A.

Increase Graphic Processing Units (GPUs).

B.

Increase the learning rate.

C.

Increase the training iterations,

D.

Increase Central Processing Units (CPUs).

Question 3

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.