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

A00-255

Exam Code: A00-255

Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14

Updated: Jun 14, 2026

Q & A: 87 Questions and Answers

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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) 2
C) 4 or more
D) 3


2. You are building a model to identify fraud. Your model will produce predictions that can be interpreted as the probability of fraud. You will pass on the top 100 scoring cases to management for investigation. Assume that you have sufficient data to hold out a validation and test data set for model evaluation.
Which selection would represent a reasonable ordering of fit statistics (best to worst) for this situation?
Select one:
Response:

A) ROC index, ASE, misclassification rate
B) Misclassification rate, ROC index, ASE
C) R-square, AIC, K-S statistic
D) ASE, Lift for the top 10%, ROC index


3. Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
How many leaves are there in the decision tree?
Response:

A) 11-15
B) 16-20
C) 1-10
D) 21 or more


4. Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

A) Average Squared Error
B) Mean Square Error
C) 1 - Misclassification Rate
D) Total Profit


5. In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:

A) all of the above
B) nominal with any number of categories
C) interval
D) binary


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: A

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