SASInstitute A00-255 Actual Tests : SAS Predictive Modeling Using SAS Enterprise Miner 14

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SASInstitute A00-255 Exam Syllabus Topics:

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

1. The number of hidden layers in this Neural Network model is which of the following?
Response:

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

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

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

3. 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) 0.82
C) 0.27
D) 0.18

4. 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) 0.16
B) 0.86
C) 0.14
D) 0.20

5. 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) none of the above
C) 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
D) the average of the absolute values of parameter estimates between the input and all of the hidden neurons

Solutions: