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SASInstitute A00-255 Exam Syllabus Topics:

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

Question 1

If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

A. Optimal
B. Maximum Normal
C. none of the above
D. Maximum Correlation

Question 2

What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:

A. 1-19
B. 20-39
C. 40 or more
D. 0

Question 3

Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:

A. Regression models are sensitive to extreme or outlying values in the input space.
B. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
C. Another benefit is ease in model interpretation.
D. One benefit is improved model performance.

Question 4

For the variable TLCnt24, apply a Max Normal transformation. What transformation was selected by SAS Enterprise Miner?
Response:

A. Log
B. Square Root
C. Exponential
D. Square

Question 5

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?
Response:

A. 50-74.99
B. 25-49.99
C. 0-24.99
D. 75 or more

Solutions: