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Question No: 81

Hotspot

You have a dataset that contains 2,000 rows. You are building a machine learning classification model by using Azure Learning Studio. You add a Partition and Sample module to the experiment.

You need to configure the module. You must meet the following requirements:

Divide the data into subsets

Assign the rows into folds using a round-robin method

Allow rows in the dataset to be reused

How should you configure the module? To answer, select the appropriate options in the dialog box in the answer area.

NOTE: Each correct selection is worth one point.

References:

Question No: 82

OrderList

You are producing a multiple linear regression model in Azure Machine Learning Studio.

Several independent variables are highly correlated.

You need to select appropriate methods for conducting effective feature engineering on all the data.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

References:

https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selection https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform

https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selection https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform

Question No: 83

OrderList

You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.

Which three Azure Machine Learning Studio modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

References:

https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-toHYPERLINK 'https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-learning/'ols-in-azure-machine-learning/ https://docs.microsoft.com/en-us/azure/machine-learning/studio-moduHYPERLINK 'https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clip-values'le-reference/clip-values

https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-toHYPERLINK 'https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-learning/'ols-in-azure-machine-learning/ https://docs.microsoft.com/en-us/azure/machine-learning/studio-moduHYPERLINK 'https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clip-values'le-reference/clip-values

https://docs.microsoft.com/en-us/azure/machine-learning/studio-moduHYPERLINK 'https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clip-values'le-reference/clip-values

Question No: 84

OrderList

You need to implement early stopping criteria as suited in the model training requirements.

Which three code segments should you use to develop the solution? To answer, move the appropriate code segments from the list of code segments to the answer area and arrange them in the correct order.

NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

References:

Question No: 85

OrderList

You need to define an evaluation strategy for the crowd sentiment models.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

References:


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