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

1. 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) 51
B) 50
C) 41
D) 40

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

3. For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:

A) right skewed
B) symmetric
C) left skewed
D) bimodal

4. Refer to the exhibit:

What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 0.21
B) 0.18
C) 0.82
D) 0.27

5. Perform these tasks in SAS Enterprise Miner:
Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

Run the Decision Tree node.
Suppose that the data has been oversampled and the probability that TARGET=1 is 0.10 in the population. Incorporate the above scenario and run the Decision Tree node again.
What is the misclassification rate in the validation data set?
Response:

A) 0.10
B) 0.157016
C) 0.162252
D) 0.154788

Solutions: