SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 - A00-255 Exam Questions

QUESTION NO: 1
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
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QUESTION NO: 2
Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
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QUESTION NO: 3
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
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QUESTION NO: 4
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
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QUESTION NO: 5
Refer to the exhibit:

When the Explore button is selected in the graphic, what information will be displayed?
Select one:
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QUESTION NO: 6
Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
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QUESTION NO: 7
What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
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QUESTION NO: 8
Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
How many leaves are there in the decision tree?
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QUESTION NO: 9
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
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