SASInstitute A00-255 : SAS Predictive Modeling Using SAS Enterprise Miner 14

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SASInstitute A00-255 Exam Syllabus Topics:

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. How many unique indicator variables were created during imputation?
Response:

A) 1-10
B) 21 or higher
C) 11-20
D) none

2. Refer to the exhibit:

When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:

A) Sample Properties, Sample Statistics, sample data for the selected variable, and a pie chart of the selected variable
B) Sample Properties, Sample Statistics, sample data for the selected variable, and a histogram of the data for the selected variable
C) Sample Properties, Sample Statistics, sample data with all variables and values, and a histogram of the data for the selected variable
D) Sample Properties, Sample Statistics for all variables, and sample data for all variables

3. What is the kurtosis value for the variable TLDel60Cnt24?
Response:

A) less than 10
B) between 10 and 13.99
C) between 14 and 16.99
D) 17 or higher

4. 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.
In the validation data, the lift corresponding to the fourth decile is in which of the following ranges?
Response:

A) 0-1.24999
B) 1.75 or more
C) 1.5-1.74999
D) 1.25-.49999

5. Which method of input selection for regression analysis evaluates the statistical significance of all included inputs after each input is added?
Select one:
Response:

A) Backward
B) Simple
C) Forward
D) Stepwise

Solutions: