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SASInstitute A00-273 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Comparison and Scoring | 10% | - Generate and apply model score code - Compare multiple models using fit statistics - Interpret scoring outputs |
| Topic 2: Building and Assessing Segmentation Models | 32% | - Assess decision tree performance and splits - Unsupervised segmentation using cluster analysis - Interpret and evaluate cluster results - Supervised segmentation using decision trees |
| Topic 3: SAS Visual Statistics Cross-Functional Tasks | 18% | - Perform model validation and goodness-of-fit assessment - Use interactive group-by and variable transformation - Filter and subset data for modeling - Prepare data using SAS Visual Analytics |
| Topic 4: Building and Assessing Regression-Type Models | 40% | - Explain linear model concepts - Perform generalized linear regression modeling - Perform linear regression modeling - Assess model assumptions and results - Perform logistic regression modeling |
