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SASInstitute A00-255 Exam Syllabus Topics:

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

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

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

2. 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) One benefit is improved model performance.
C) When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
D) Another benefit is ease in model interpretation.

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

4. The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:

A) between 1.00 and 1.99
B) 3.00 or higher
C) between 2.00 and 2.99
D) less than 1.00

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

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

Solutions: