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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Development | - Regression modeling techniques - Decision trees and ensemble methods - Neural networks and advanced modeling in SAS Enterprise Miner |
| Topic 2: Business Understanding and Analytical Framework | - Translate business problems into data mining tasks - Define business objectives and analytics goals |
| Topic 3: Exploratory Data Analysis | - Visualization techniques for pattern discovery - Descriptive statistics and data profiling |
| Topic 4: Model Evaluation and Validation | - Model performance metrics - Validation and cross-validation techniques - Model comparison and selection |
| Topic 5: Model Implementation and Deployment | - Model scoring and deployment in SAS Enterprise Miner - Monitoring model performance in production |
| Topic 6: Data Understanding and Preparation | - Feature selection and transformation - Data cleaning and preprocessing - Handling missing values and outliers - Data collection and data source identification |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Question #1
Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:
A. Each unique value has the potential of being the optimal split point.
B. The variable goes through a binning process, the bins are weighted based on the proportion of events in each bin, and then finally tested as an optimal split point.
C. Each unique value has the potential of being the optimal split point, except for the extreme observation.
D. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
Question #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.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:
A. 0-24.99
B. 75 or more
C. 25-49.99
D. 50-74.99
Question #3
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.
The variable Branch has how many levels?
Response:
A. 19
B. 47
C. 12
D. 8
Question #4
-> 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).
- Allow for 1 substitute rule in case the variable for the primary splitting rule is missing.
- Disable pruning for the decision tree.
-> 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.
-> Run the process flow.
What is the number of input variables being used by the Neural Network Model?
Enter your numeric answer in the space below:
Response:
A. 10
B. 11
C. 16
D. 13
Question #5
Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:
A. Backward
B. Simple
C. Forward
D. Stepwise
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: B | Question #3 Correct Answer: A | Question #4 Correct Answer: C | Question #5 Correct Answer: C |


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