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

Question 2

Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A. all of the above
B. higher value of AIC (Akaike,s information criterion)
C. smaller value of SBC (Schwarz,s Bayesian criterion)
D. smaller value of gamma

Question 3

If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

A. 80% or higher
B. between 15%-49.99%
C. between 50%-79.99%
D. less than 15%

Question 4

How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

A. two hidden layers
B. no hidden layer, direct connection between inputs and output is preferred
C. three or more hidden layers
D. one hidden layer

Question 5

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

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

Solutions: