Confuse Skull: Azure - Machine Learning MCQ's

1. Which of the following is a python REPL environment ?

View Answer

jupyter notebook

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

View Answer

conda

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

View Answer

U-SQL

4. Reference data is _________.

View Answer

additional application data for user

5. Get the required size of a dataset from a large amount of accumulated data is called ________.

View Answer

statistical sampling B,D,C,A,E

6. Azure ML Studio provides us with ________ number of API keys.

View Answer

2 7. Computer vison package

View Answer

opencv

8. Data can be imported into ML Studio through ________.

View Answer

Azure Data lake

9. Docker helps in _______.

View Answer

deployement

10. If 'n' is the number of columns/inputs of a web service API, then n is ___________.

View Answer

any number

11. A K-Means Cluster is said to be well defined if the cluster is ________.

View Answer

eclipse

12. Small Memory Foot print can be acquired through ______________.

View Answer

Decision Jungle

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

View Answer

more feature

14. Reference data can be fetched on demand using ___________.

View Answer

all

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

View Answer

poisson regression

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

View Answer

Neural networks

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

View Answer

80 20

18. In general, Linear Machine Learning Models are associated with __________.

View Answer

fast training

19. 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 ___________.

View Answer

feature engineering

20. Azure Data Factory is used to ____________.

View Answer

Big data processing

21. You create an Azure Stream Analytics job in which you want to call an Azure Machine Learning web service that is managed in a different Azure subscription. What can be done to use the Machine Learning Web service?

View Answer

AZure ML function is added

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

View Answer

Batch API

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

View Answer

HD insight

24. What service can be used along with Azure ML Studio Services to predict Machine Failure in real-time through data collected from sensors?

View Answer

azure stream analytics

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

View Answer

async generate

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

View Answer

An azure storage blob

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

View Answer

Azure ML batch execution

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

View Answer

all

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

View Answer

model i learner file

30. Data Visualization in Azure ML Studio is possible through ________.

a) In built visulization options
b) import module and jupyter
c) jupyter notebook
d) Both inbuilt and jupyter.

View Answer

Both inbuilt and jupyter.

31. Which of the following is the preferred model to find the best fit line for a data set using linear regression?

View Answer

lease square error

32. Average amount of money spent by a user at a Supermarket can be predicted through ____________ .

View Answer

regression

33. Azure ML studio enables which of the following to perform efficiently?

View Answer

all the options

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

View Answer

web service

35. Launching Azure ML in an Azure subscription does not automatically create ___________.

View Answer

web service

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

View Answer

azure blob storage

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

View Answer

cached results

38. Quality of our classifier can be determined through _________.

a) accuracy
b) Precesion
c) confusion matrix

View Answer

confusion matrix

39. 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) URl
b) any
c) database connection

View Answer

database connection

40. Age can be Normalised through _________.

View Answer

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Azure - Machine Learning MCQ's

1. Which of the following is a python REPL environment ?

jupyter notebook

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

conda

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

U-SQL

4. Reference data is _________.

additional application data for user

5. Get the required size of a dataset from a large amount of accumulated data is called ________.

statistical sampling B,D,C,A,E

6. Azure ML Studio provides us with ________ number of API keys.

2

7. Computer vison package

opencv

8. Data can be imported into ML Studio through ________.

Azure Data lake

9. Docker helps in _______.

deployement

10. If 'n' is the number of columns/inputs of a web service API, then n is ___________.

any number

11. A K-Means Cluster is said to be well defined if the cluster is ________.

eclipse

12. Small Memory Foot print can be acquired through ______________.

Decision Jungle

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

more feature

14. Reference data can be fetched on demand using ___________.

all

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

poisson regression

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

Neural networks

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

80 20

18. In general, Linear Machine Learning Models are associated with __________.

fast training

19. 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

20. Azure Data Factory is used to ____________.

Big data processing

21. You create an Azure Stream Analytics job in which you want to call an Azure Machine Learning web service that is managed in a different Azure subscription. What can be done to use the Machine Learning Web service?

AZure ML function is added

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

Batch API

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

HD insight

24. What service can be used along with Azure ML Studio Services to predict Machine Failure in real-time through data collected from sensors?

azure stream analytics

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

async generate

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

An azure storage blob

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

Azure ML batch execution

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

all

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

model i learner file

30. Data Visualization in Azure ML Studio is possible through ________.

Both inbuilt and jupyter.

31. Which of the following is the preferred model to find the best fit line for a data set using linear regression?

lease square error

32. Average amount of money spent by a user at a Supermarket can be predicted through ____________ .

regression

33. Azure ML studio enables which of the following to perform efficiently?

all the options

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

web service

35. Launching Azure ML in an Azure subscription does not automatically create ___________.

web service

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

azure blob storage

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

cached results

38. Quality of our classifier can be determined through _________.

confusion matrix

39. 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 ______________.