Azure ML Question answers

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1.Reference data is _

Additional data for training model

2.Get the required size of a dataset from a large amount of accumulated data is called __.

Preprocess Sampling

3.Azure ML Studio provides us with __ number of API keys.

4.What is the default Python package manager in case of Azure ML Studio?

conda

5.Select the option that represents the correct order of following tasks: (A) Predictive Experiment (B) Training Experiment (C) Model Evaluation (D) Data Preprocessing (E) API Publishing

B , D, C, A, E

6.Which of the following can be generally used to clean and prepare Big Data?

U-SQL

7.Get the required size of a dataset from a large amount of accumulated data is called __.

Preprocess Sampling

8.Docker helps in _____________.

Deployment

9.Data can be imported into ML Studio through _.

Azure Storage and User upload

10.The process of determining the causes that play a role in House Price increase in a particular area to model a House Price predictor is called _.

FEATURE ENGINEERING

11.Reference data can be fetched on demand using _.

All the options

12.In general, Linear Machine Learning Models are associated with __.

Long Training Time

13. SVM models, in general, are best known to be applied in the case of __.

High accuracy

14.Which of the following is the best model to predict the number of earthquakes occurring at a place based on historical data?

Logistic regression

15.Which of the following is false about Train Data and Test Data in Azure ML Studio?

Train data and Test data split should follow a thumb-rule of 80 : 20.

16.If training time can be traded for accuracy, we can use _.

Neural Networks

17.Reference data can be fetched on demand using _.

All the options

18.A K-Means Cluster is said to be well defined if the cluster is __.

Polygon with cluster number of edges

19.Select Azure Data Factory pipeline activity that retrieves predictions from an Azure Machine Learning web service.

AzureMLBatchProcessing execution

20.To retrain the predictive model and update the web service through Azure Data Factory, which of the datasets are required?

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

21.Azure Data Factory can be linked with __ service to manage big data clusters on demand.

Cosmos DB Azure Storage

22.Asynchronous predictions with Azure ML Studio can be achieved through __.

Async API

23.Azure Data Factory can be linked with which of the following Storage services?

ALL OPTIONS

24.What is the output of Azure Data Factory pipeline that uses the AzureMLBatchExecution activity to retrain a model?

ALL

25.While processing stored data in big data scenario, what is the optimal way to generate predictions?

Real time generation

26.Azure Data Factory is used to __.

Provide pipeline for Big Data processing

27.A web service can be published as Classic or [New]. Does this make any difference?

No change, except for versioning.

28.Mean variance Normalization is used in case when the parameter distribution is __.

BELL SHAPED

29.Simple way to explore multiple datafiles from a Big Data Job is __.

Downloading the files to Azure Storage and upload into workspace

30.Log transform is used when __.

EXPONENTIAL

31.A 5GB data file attained from a U-SQL job can be used for a training experiment through __.

ALL of the above

32.Data Visualization in Azure ML Studio is possible through __.

Both inbuilt and jupyter notebook Import module and jupyter notebook

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

Predictive Experiment can be used directly after creating it from a training experiment. Select the appropriate option as answer. False, changes must be done to facilitate proper web service inputs/outputs.

34.All our published web services can be considered as ______.

Azure App Services

35.An environment for working with Azure Machine Learning in an Azure subscription does not automatically create _

A workspace

36.Collaboration in Azure Machine Learning is possible through __.

Collaboration is not possible \Merging Workspaces

37.In Azure Stream analytics, webservice is added as a _.

function

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

Stored Results

39. Select Azure Data Factory pipeline activity that retrieves predictions from an Azure Machine Learning web service.

AzureMLBatchExecution

40.Average amount of money spent by a user at a Supermarket can be predicted through __ .

classification

41.Age can be Normalised through _.

zscore

42.An environment for working with Azure Machine Learning in an Azure subscription ou urc does not automatically create _.

workspace

43.Mean-variance Normalization is used in case when the parameter distribution is __.

none of option

44.A K-Means Cluster is said to be well defined if the cluster is __.

edges

45. Which of the following can be generally used to clean and prepare Big Data?

data warehouse

46.When predicting if the patient has cancer or not, which parameter must be given importance?

recall

47.To prevent running Import Data module each time, we run an experiment, when data This imported from Azure Blob storage, we can use _.

stored data

48.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 __.

webservice url

49.What is the output of Azure Data Factory pipeline that uses the AzureMLBatchExecution activity to retrain a model?

training data file

50.All our published web services can be considered as _.

azure app services

51.In Azure Stream analytics, webservice is added as a _.