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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 認定 A00-255 試験問題:

1. Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:

A) Systemic
B) Stratify
C) Random
D) Cluster

2. 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.
The number of parameters (weights) estimated by the Neural Network model is in which of the following ranges?
Response:

A) 6-10
B) 16 or more
C) less than or equal to 5
D) 11-15

3. Suppose your input variables have missing values. Before running a decision tree with these input variables, you should do which of the following?
Response:

A) impute only interval variables using the Tree method but do not impute the class variables
B) impute all missing values using the Tree method
C) impute only class variables using the Tree method but do not impute the interval variables
D) not impute any missing values because trees can handle them.

4. Which statement describes the Decision Tree Split Search mechanism for categorical inputs?
Select one:
Response:

A) The levels that have target rate of 0 or 100% are re-binned first, then weighted and the weights are used for testing.
B) All levels are weighted and the weights are used for testing.
C) A clustering mechanism eliminates observations in outlier clusters as potential split points as a first step. Then, for the remaining observations, the average target value is calculated for each level, and then passed on for testing if it is the optimal split point.
D) The average target value is calculated for each level, and then passed on for testing if it is the optimal split point.

5. 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

質問と回答：