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SASInstitute A00-255 Exam Syllabus Topics:

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

1. Perform these tasks in SAS Enterprise Miner:
* Continue to use the same diagram. Define and create the data set CREDIT_SCORE for scoring. The variables (their roles and measurement levels) in the CREDIT_SCORE data should be set as identical to those in the CREDIT dat a. The only exception is that the scoring data does not have a TARGET variable.
* Find the best model out of Decision Tree, Decision Tree (3-way), Regression, and Neural Network as defined by each of the four model's overall performance in the validation data measured by average squared error. Now, use this best model to score the CREDIT_SCORE data.
CREDIT SCORE:

The distribution of the predicted probabilities of TARGET=0 in the scoring data is approximately which of the following?
Response:

A) bimodal
B) left skewed
C) normal
D) right skewed

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

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

3. The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:

A) less than 1.00
B) 3.00 or higher
C) between 2.00 and 2.99
D) between 1.00 and 1.99

4. If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:

A) Decision Tree (3-way)
B) Neural Network
C) Regression
D) Decision Tree

5. Which model was picked as the best model by SAS Enterprise Miner?
Response:

A) Decision Tree (3-way)
B) None of the above
C) Regression
D) Decision Tree

Solutions: