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SASInstitute A00-274 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model Comparison and Scoring9%- Apply models to score new data
- Interpret scoring results
- Compare multiple models using appropriate metrics
Topic 2: Building and Assessing Segmentation Models28%- Supervised segmentation using decision trees
- Assess and interpret decision tree performance
- Interpret and analyze cluster results
- Unsupervised segmentation using cluster analysis
Topic 3: Building and Assessing Regression-Type Models41%- Build generalized additive models
- Evaluate linear regression model results
- Explain linear model concepts and assumptions
- Interpret and validate regression model outputs
- Perform linear regression modeling
- Perform nonparametric logistic regression modeling
Topic 4: SAS Visual Statistics Cross-Functional Tasks22%- Prepare data using SAS Visual Analytics
- Use interactive group-by functionality
- Filter data for modeling
- Perform model validation

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