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SASInstitute A00-255 Exam Syllabus Topics:

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

Question 1

The importance of an input variable in predicting a target in an MLP-based neural network can be figured out by which of the following?
Response:

A. the highest absolute value of the parameter estimate between the input and any of the hidden neurons
B. the highest absolute value of the parameter estimate between the input and any of the hidden neurons multiplied by the absolute value of the parameter estimate of the hidden neuron
C. none of the above
D. the average of the absolute values of parameter estimates between the input and all of the hidden neurons

Question 2

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.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

A. 0.077935227
B. 0.0658174098
C. 0.9341825902
D. 0.9220647773

Question 3

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. 40
D. 41

Question 4

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.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:

A. change of odds for TARGET=1 by a factor 0.3457
B. reduction of odds for TARGET=1 by 0.3457
C. reduction of odds for TARGET=1 by 0.708
D. change of odds for TARGET=1 by a factor 0.708

Question 5

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

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

Solutions: