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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Scoring and Deployment | 20% | - Model scoring - Model deployment |
| Topic 2: Building Predictive Models | 40% | - Regression models - Neural networks - Decision trees - Gradient boosting |
| Topic 3: Model Assessment and Selection | 20% | - Model comparison - ROC and Lift curves - Model fit statistics |
| Topic 4: Data Preparation and Exploration | 20% | - Data exploration using SAS Visual Statistics - Data quality - Importing data |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. What is the purpose of deriving a cluster ID variable in cluster analysis?
A) To calculate the distance between clusters
B) To assign cluster labels to data points
C) To create a scatter plot of data points
D) To set parallel coordinate properties
2. Which model does not produce score code?
A) Decision Tree using the rapid growth option
B) Regression using the group by option
C) Decision Tree using interactive mode
D) Regression using interaction effects
3. What is the primary purpose of scoring functionality in SAS Visual Statistics?
A) To select the best model for a given dataset
B) To generate code for deploying models in production
C) To assess the distribution of predictor variables
D) To evaluate model performance on a test dataset
4. In the below nonparametric logistic regression results display, where would you click to get a plot of significant continuous effects?
5. During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?
A) score code
B) cluster matrix plot
C) cluster summary table
D) parallel coordinates plot
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B,D | Question # 4 Answer: Only visible for members | Question # 5 Answer: A |
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