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SASInstitute A00-255 Exam Syllabus Topics:

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

Question 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?
Response:

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

Question 2

Which of the following solves problems for you when you impute missing values?
Response:

A. When you impute a synthetic value, it replaces missing values with 1 or 0.
B. When you impute a synthetic value, predictive information is retained.
C. When you impute a synthetic value, each missing value becomes an input to the model.
D. When you impute a synthetic value, it eliminates the incomplete case problem.

Question 3

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. Interval
C. Nominal
D. Unary

Question 4

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

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

Question 5

Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:

A. 1.2
B. 1
C. 0.8
D. 0.05

Solutions: