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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Model Assessment and Implementation | 25β30% | - Evaluate performance via profit/loss and comparison - Apply appropriate fit statistics - Score and deploy models - Adjust for oversampling and sampling methods |
| Topic 2: Data Sources | 20β25% | - Create data sources from SAS tables - Modify and prepare source data for modeling - Explore and assess data sources |
| Topic 3: Building Predictive Models | 35β40% | - Build models using decision trees - Build models using regression techniques - Understand predictive modeling concepts - Build models using neural networks |
| Topic 4: Pattern Analysis | 10β15% | - Identify clusters and segments - Interpret pattern discovery results |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Which model was picked as the best model by SAS Enterprise Miner?
Response:
- A. None of the above
- B. Regression
- C. Decision Tree
- D. Decision Tree (3-way)
Correct Answer: C π³οΈ
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. 50-74.99
- C. 0-24.99
- D. 25-49.99
Correct Answer: A π³οΈ
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 class variables using the Tree method but do not impute the interval variables
- B. impute all missing values using the Tree method
- C. impute only interval variables using the Tree method but do not impute the class variables
- D. not impute any missing values because trees can handle them.
Correct Answer: D π³οΈ
The number of neurons in this Neural Network model is which of the following:
Response:
- A. 1
- B. 4 or more
- C. 2
- D. 3
Correct Answer: A π³οΈ
1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:
- A. $11,142.45
- B. $8,711.65
- C. $9,586.55
- D. $0.00
Correct Answer: C π³οΈ
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