SASInstitute SAS Institute SAS A00-255

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

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) none of the above
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) the average of the absolute values of parameter estimates between the input and all of the hidden neurons
D) the highest absolute value of the parameter estimate between the input and any of the hidden neurons

2. You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 0.14
B) 0.20
C) 0.86
D) 0.16

3. For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

A) 2L-1
B) 2L
C) (L-1)/1
D) 2L-1-1

4. The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:

A) 2
B) 3
C) 4 or more
D) 1

5. 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) 50
C) 41
D) 51

Solutions: