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1.     In comparison to Azure Machine Learning Service, Azure Machine Learning Studio has

a) Better web services

b)Better CLI and SDK

c) Fewer open-source packages support

d) all

2. In Azure Stream analytics, webservice is added as a

a) function

b) job

c) query

d)transformation

3)Select Azure Data Factory pipeline activity that retrieves predictions from an Azure Machine Learning web service

a)AzureUpdateResource

b)AzureMLBatchExecution

c)AzureMLBatchProcessing

d) AzureBlob

4)Azure Webservice is based on ___

a) REST API and JSON Format

b) SOAP API and JSON Format

c) all

d) REST API and Xml Format

5)A client application needs to fetch reference data based on customer location and data is shared on multiple databases. Servicing the application through a single prediction web service is possible through

a)Parametrising Database location

b) Parametrising Webservice URL

C) Parametrising Database Connection

6)If training time can be traded for accuracy, we can use __

a)Logistic Regression

b)Decision Forest

c)Boosted Decision Tree

d) Neural networks

7.     When data is classified into two categories or classes, what type of classification is it?

a.     Binary

b.     Multi- class

c.     Regression

d.     Clustering

8.     In regression, On predictions based on transformed data which has a different unit compared the actual value, which errors best describes the quality of the model ____________

a.     Mean errors

b.     Absolute errors

c.     Relative errors

d.     All the given options

 

9.     When performing the Clean Missing Data action, it is not necessary to mention the minimum and maximum missing value ratio.

a.     False

b.     True

c.     Neural Networks

 

10.  To prevent running Import Data module each time, we run an experiment, when data is imported from Azure Blob storage, we can use _____________.

a.     Generated Results

b.     Not possible to prevent import Data module from running

c.     Stored Results

d.     Cached Results

11.  What is the Azure CLI command to view the score of a model?

a.     None of the options

b.     az ml score-n $service

c.     az ml service show -n $service

d.     az ml service show score -n $service

 

12.  To retrain the predictive model and update the webservice through Azure Data Factory, which of the datasets are required?

a.     A model.ilearner file for the input of an AzureMLBatchExecution activity

b.     An Azure Storage blob for the output of an AzureMLUpdateResource activity.

c.     All the options

d.     Scored labels for the output of an AzureMLBatchExecution activity.

e.     None of the options

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