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

1. If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

A) Maximum Correlation
B) Optimal
C) none of the above
D) Maximum Normal

2. What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:

A) 20-39
B) 1-19
C) 0
D) 40 or more

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

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) 0.86
B) 0.16
C) 0.14
D) 0.20

5. Which of the following solves problems for you when you impute missing values?
Response:

A) When you impute a synthetic value, it eliminates the incomplete case problem.
B) When you impute a synthetic value, it replaces missing values with 1 or 0.
C) When you impute a synthetic value, predictive information is retained.
D) When you impute a synthetic value, each missing value becomes an input to the model.

Solutions: