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The SAS Advanced Predictive Modeling exam, also known as A00-225, is a certification program offered by SAS Institute. A00-225 exam is designed to test the knowledge and skills of professionals who work with predictive modeling in the SAS environment. It is intended for individuals who have already obtained a basic understanding of SAS programming and data analysis.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics on Big Data | 40% | - Build random forest models - Use PROC IMSTAT and high-performance analytics - Perform cluster analysis and principal component analysis - Analyze categorical and interval targets using SAS Visual Statistics |
| Topic 2: Logistic Regression | 30% | - Score new data using LOGISTIC and PLM procedures - Prepare input data and handle categorical variables - Interpret ROC, lift and gains charts - Variable screening and model selection |
| Topic 3: Open Source Models in SAS | 10% | - Incorporate Python programs into SAS Enterprise Miner - Incorporate R programs into SAS Enterprise Miner |
| Topic 4: Neural Networks | 20% | - Construct custom network architectures - Use architectures for linear and non-linear modeling - Apply optimization methods for network training - Describe key concepts underlying neural networks |
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