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SASInstitute A00-255 Exam Syllabus Topics:

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

1. Refer to the following profit matrix and confusion matrix for a campaign soliciting product purchases. The predicted variable is a binary outcome.

Based on the above tables, what is the average profit? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 69
B) 690
C) 86.25
D) 6.9

2. A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 40
B) 51
C) 41
D) 50

3. 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) Decision Tree
B) Ensemble
C) Regression
D) Neural Network

4. Multicollinearity in regression refers to which of the following?
Response:

A) non-normality of the target variable
B) high skewness in distributions of input variables
C) non-constant variance of the target variable
D) high correlations among input variables

5. 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) all of the above
D) higher value of AIC (Akaike,s information criterion)

Solutions: