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

1. For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

A) 2L
B) (L-1)/1
C) 2L-1
D) 2L-1-1

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

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

3. 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?
Response:

A) 16-20
B) 11-15
C) 21 or more
D) 1-10

4. Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:

A) Ordinal
B) Unary
C) Nominal
D) Interval

5. Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:

A) Random
B) Stratify
C) Cluster
D) Systemic

Solutions: