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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Development | - Neural networks and advanced modeling in SAS Enterprise Miner - Decision trees and ensemble methods - Regression modeling techniques |
| Topic 2: Business Understanding and Analytical Framework | - Translate business problems into data mining tasks - Define business objectives and analytics goals |
| Topic 3: Data Understanding and Preparation | - Feature selection and transformation - Data collection and data source identification - Handling missing values and outliers - Data cleaning and preprocessing |
| Topic 4: Model Implementation and Deployment | - Monitoring model performance in production - Model scoring and deployment in SAS Enterprise Miner |
| Topic 5: Model Evaluation and Validation | - Model comparison and selection - Model performance metrics - Validation and cross-validation techniques |
| Topic 6: Exploratory Data Analysis | - Visualization techniques for pattern discovery - Descriptive statistics and data profiling |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
1. Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:
A) Stepwise
B) Backward
C) None
D) Forward
2. An analyst is performing a market basket analysis (affinity analysis) on the purchase of Shaving Cream and Seltzer Water. The purchase data from a set of 250 customers is shown below:
What is the confidence of the rule "Shaving Cream implies Seltzer Water"? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
A) 60%
B) 67%
C) 40%
D) 57%
3. What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:
A) 0.24914
B) 0.24169
C) 0.27649
D) 0.10844
4. If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:
A) between 50%-79.99%
B) 80% or higher
C) less than 15%
D) between 15%-49.99%
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.
Which of the following variable(s) is (are) statistically significant at the 5% level in the selected model?
Response:
A) TLTimeFirst
B) IMP_TLOpen24Pct
C) TLDel3060Cnt24
D) all of the above
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: D |
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