Module 5: Azure Machine Learning Operations

Module 5: Azure Machine Learning Operations

Graded Quiz Answers :

1.Question 1

Which of these are applications that consume model predictions?

1 / 1 point

websites

dashboards

back-end applications

2.Question 2

Which of the following items do you need in order to connect to an existing workspace?

1 / 1 point

Azure Resource group

Workspace name

Azure subscription key

3.Question 3

Which of the following are steps during the deployment flow in Azure ML?

1 / 1 point

Develop your trained model

Register your trained model

Prepare to deploy

4.Question 4

Which two functions are included in the Scoring script?

1 / 1 point

int and run

start and execute

int and finalize

start and run

5.Question 5

What is the recommended method to deserialize a model to make it available for prediction in your compute target?

1 / 1 point

pickle.dump

joblib.dump

pickle.load

joblib.load

6.Question 6

How are dependencies represented in a deployment configuration?

1 / 1 point

in a yaml file

in a configuration file

in a python object

in a python script

7.Question 7

Which arguments are required in an image configuration?

1 / 1 point

runtime environment

scoring script

dependencies

model name

8.Question 8

Which of the following are included to deploy a web service from a registered model?

1 / 1 point

an image configuration

the name of the model

a deployment configuration

9.Question 9

Which method is used to list registered models in your workspace?

1 / 1 point

Model.list

Model.directory

Model.get

Model.show

10.Question 10

Which of the following are deployment targets available in Azure?

1 / 1 point

Azure Data Lake Service

HDInsight

Databricks

Azure Kubernetes Service