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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Sources | 20–25% | - Create data sources from SAS tables - Explore and assess data sources - Modify and prepare source data for modeling |
| Pattern Analysis | 10–15% | - Identify clusters and segments - Interpret pattern discovery results |
| Predictive Model Assessment and Implementation | 25–30% | - Apply appropriate fit statistics - Score and deploy models - Evaluate performance via profit/loss and comparison - Adjust for oversampling and sampling methods |
| Building Predictive Models | 35–40% | - Build models using decision trees - Build models using regression techniques - Build models using neural networks - Understand predictive modeling concepts |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
1. What is the kurtosis value for the variable TLDel60Cnt24?
Response:
A) less than 10
B) 17 or higher
C) between 10 and 13.99
D) between 14 and 16.99
2. 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.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:
A) reduction of odds for TARGET=1 by 0.3457
B) change of odds for TARGET=1 by a factor 0.3457
C) reduction of odds for TARGET=1 by 0.708
D) change of odds for TARGET=1 by a factor 0.708
3. Multicollinearity in regression refers to which of the following?
Response:
A) high correlations among input variables
B) non-constant variance of the target variable
C) high skewness in distributions of input variables
D) non-normality of the target variable
4. Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.
How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:
A) 60%
B) 30%
C) 25%
D) 140%
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) 75 or more
B) 25-49.99
C) 0-24.99
D) 50-74.99
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: A |




