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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) 50
B) 51
C) 40
D) 41

2. Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:

A) Forward
B) Backward
C) None
D) Stepwise

3. In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:

A) all of the above
B) interval
C) nominal with any number of categories
D) binary

4. What is the kurtosis value for the variable TLDel60Cnt24?
Response:

A) less than 10
B) between 14 and 16.99
C) 17 or higher
D) between 10 and 13.99

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.
In the decision tree model, what is the importance of the variable InqCnt06?
Response:

A) less than 0.149999
B) 0.30-0.449999
C) 0.45 or higher
D) 0.15-0.299999

Solutions: