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SASInstitute SAS Institute SAS A00-255

A00-255

Exam Code: A00-255

Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14

Updated: Jun 04, 2026

Q & A: 87 Questions and Answers

A00-255 Free Demo download:

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

1. Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:

A) Sample Method: Stratify and Criterion: Proportional
B) Sample Method: Random and Criterion: Equal
C) Sample Method: Random and Criterion: Proportional
D) Sample Method: Stratify and Criterion: Equal


2. Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

A) The misclassification error for the test data is 0.154255.
B) The optimization for the model has not been completed.
C) The model has too few input variables.
D) All of the above


3. 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.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:

A) 50-74.99
B) 75 or more
C) 25-49.99
D) 0-24.99


4. Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:

A) Unary
B) Interval
C) Ordinal
D) Nominal


5. 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.
In the decision tree model, what is the importance of the variable InqCnt06?
Response:

A) 0.15-0.299999
B) 0.45 or higher
C) less than 0.149999
D) 0.30-0.449999


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B
Question # 3
Answer: B
Question # 4
Answer: D
Question # 5
Answer: D

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