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

Question 1

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

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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 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.