DRAG DROP -
You create a training pipeline using the Azure Machine Learning designer. You upload a CSV file that contains the data from which you want to train your model.
You need to use the designer to create a pipeline that includes steps to perform the following tasks:
✑ Select the training features using the pandas filter method.
✑ Train a model based on the naive_bayes.GaussianNB algorithm.
✑ Return only the Scored Labels column by using the query
✑ SELECT [Scored Labels] FROM t1;
Which modules should you use? To answer, drag the appropriate modules to the appropriate locations. Each module name may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
 
















 

Suggested Answer: 
    

Box 1: Two-Class Neural Network -
The Two-Class Neural Network creates a binary classifier using a neural network algorithm.
Train a model based on the naive_bayes.GaussianNB algorithm.
Box 2: Execute python script -
Select the training features using the pandas filter method
Box 3: Select Columns in DataSet
Return only the Scored Labels column by using the query SELECT [Scored Labels] FROM t1;
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network

This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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