Module 4: Azure Machine Learning Service

Module 4: Azure Machine Learning Service

Graded Quiz Answers :

1.Question 1

Which of the following are steps in the Azure ML process?

1 / 1 point

deploy

train

validate

2.Question 2

Looking at the example "az ml workspace create", which method are you using to create the workspace?

1 / 1 point

Azure's command line tool

The Azure portal

The SDK through a program

The Resource Manager API

3.Question 3

"workspace.create" is an example of how to create a workspace using which menthod?

1 / 1 point

The Python SDK

The Azure Portal

The Azure command line tool

The Resource Manager API

4.Question 4

How do you reference your model logic during a training run?

1 / 1 point

Directly from your workspace

Using a Python script

Using a dependencies file

Using a yami file

5.Question 5

Which of the following shows the Azure ML Process steps in the correct order?

1 / 1 point

train, package, deploy, validate, retrain, monitor

train, package, validate, deploy, monitor, retrain

develop, train, deploy, validate, package, monitor, retrain

train, validate, package, deploy, monitor, retrain

6.Question 6

What Azure compute targets are used for testing?

1 / 1 point

notebook VM

AML compute

local compute

7.Question 7

Where can you store your trained model in your workspace so you can reference it later?

1 / 1 point

as the output of an experiment

as the output of a run

in the results directory of a training target

in the Model Registry

8.Question 8

Which Azure Compute Target enables transformations using Apache Spark?

1 / 1 point

AML Compute

Databricks

Notebook VM

Remote VM

9.Question 9

In which language is the Azure ML SDK implemented?

1 / 1 point

Java

Python

Scala

Python and Java

10.Question 10

What is the workspace object that stores the result of a specific training execution?

1 / 1 point

Model Registry

Training Target

a run

an experiment