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1.     Predictive Experiment can be used directly after

creating it from a training experiment. Select the appropriate option as answer.
a.           True, changes can be done only for customization of web service for client application
b.           False, a new predictive experiment must be created from scratch.
c.           False, changes must be done to facilitate proper web service inputs/outputs.
d.           True, but need changes with data transformation.


2. A K-Means Cluster is said to be well defined if the cluster is ________.
a.     No such metric
b.     Circle
c.     Ellipse
d.     Polygon with cluster number of edges


3.     Collaboration in Azure Machine Learning is possible through ________.
a.     Invitation to Azure Subscription
b.     Invitation to Workspace
c.     Collaboration is not possible
d.     Merging Workspaces


4.     In Azure Stream analytics, webservice is added as a ___________.
a.     Function
b.     Transformation
c.     Job
d.     Query


5.     Azure ML Studio's import data item does not allow loading data from on-premises SQL database
a.     False
b.     True


6.     Data Visualization in Azure ML Studio is possible through ________
a.     Jupyter Notebook
b.     Both inbuilt and jupyter notebook
c.     Import module and jupyter notebook
d.     In-built visualization options


7.     Which of the following is the preferred model to find the best fit line for a data set using linear regression?
a.     Maximum likelihood and Logarithmic loss
b.     Maximum likelihood
c.     Least square error
d.     Logarithmic loss


8.Quality of our classifier can be determined through _________.
a.     Accuracy
b.     Confusion Matrix
c.     Precision
d.     Recall


9.     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.     Absolute Errors
b.     All the given options
c.     Mean Errors
d.     Relative Errors


10.  Launching Azure ML in an Azure subscription does not automatically create ___________.
a.     Pricing plan
b.     Storage account
c.     Web service
d.     Workspace


11.  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
a)           A, B, C, D, E
b)           D, B, C, A, E
c)           B, C, D, A, E
d)           B , D, C, A, E


12. What is the Azure CLI command to view the score of a model?
a)     az ml service show -n $service
b)    az ml service show score -n $service
c)     az ml score-n $service
d)    None of the options


13.  Azure ML studio enables which of the following to perform efficiently?
a.          Model Testing and Deployment
b.          Model Training
c.          Model Selection
d.          All the options


14.  What is the Azure CLI command to create machine learning workspace?
a.          Cannot create a workspace using cli
b.          az ml workspace create -w $workspace -g $resource
c.          az workspace -w $workspace -g $resource
d.          az ml workspace -w $workspace -g $resource
15. Get the required size of a dataset from a large amount of accumulated data is called ________.
a. Rational Sampling
b. Statistical Sampling
c. Preperation Sampling
d. Preprocess Sampling
16. When data is classified into two categories or classes, what type of classification is it?
a.     Binary
b.     Multi-class
c.     Clustering
d.     Regression
17. When performing the Clean Missing Data action, it is not necessary to mention the minimum and maximum missing value ratio.
a. True
b. Neural Networks
c. False
18. When predicting if the patient has cancer or not, which parameter must be given importance?
a. Precision
b. Threshold
c. accuracy
d. Recall
19. 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 Connection
b.     Parametrising Database location
c.     Parametrising Webservice URL
d.     Any of the options
20. Which of the following is the best model to predict the number of earthquakes occurring at a place based on historical data?
a.     Poisson Regression
b.     Fast forest quantile regression
c.     Logistic Regression
d.     None of the options

Answer & Explanation
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