Which module should you use?

You are building an Azure Machine Learning experiment.You need to transform a string column into a label column for a Multiclass Decision Jungle module.Which module should you use? A. Select Columns Transform B. Group Categorical Values C. Convert to Indicator Values D. Edit Metadata Show Answer

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What capability does the module provide?

You plan to use Azure Machine Learning to develop a predictive model. You plan to include an Execute PythonScript module.What capability does the module provide? A. Outputting a file to a network location. B. Performing interactive debugging of a Python script. C. Saving the results of a Python script run in a Machine Learning environment […]

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Which module should you add to the experiment?

You are building an Azure Machine Learning experiment.You need to transform 47 numeric columns into a set of 10 linearly uncorrelated features.Which module should you add to the experiment? A. Principal Component Analysis B. K-Means Clustering C. Normalize Data D. Group Data into Bins Show Answer

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Which module should you use?

You are building an Azure Machine Learning experiment.You need to transform a string column that has 47 distinct values into a binary indicator column. The solutionmust use the One-vs-All Multiclass model.Which module should you use? A. Select Column Transform B. Convert to Indicator Values C. Group Categorical Values D. Edit Metadata Show Answer

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Which model should you use?

You are building an Azure Machine Learning solution for an online retailer.When a customer selects a product, you need to recommend products that the customer might like to purchaseat the same time. The recommendation should be based on what other customers purchased when theypurchased the same product.Which model should you use? A. Collaborative filtering B. […]

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What is the cause of the errors?

You have an Azure Machine Learning experiment.You discover that a model causes many errors in a production dataset. The model causes only few errors in thetraining data.What is the cause of the errors? A. overfitting B. generalization C. underfitting D. a simple predictor Show Answer

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