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

1. 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) Systemic
B) Random
C) Cluster
D) Stratify

2. Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
Compare the performance of the ensemble and the four models using average squared error in the validation data. Which is the best model in this comparison?
Response:

A) Regression
B) Ensemble
C) Neural Network
D) Decision Tree

3. The number of neurons in this Neural Network model is which of the following:
Response:

A) 1
B) 4 or more
C) 3
D) 2

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

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

5. A useful concept in logistic regression is the doubling amount. How would you calculate doubling amount for an input variable that has a parameter estimate of b1?
Response:

A) 2/log(b1)
B) 2*b1
C) 2*log(b1)
D) 0.69/b1

Solutions: