Exam Code: A00-225
Exam Name: SAS Advanced Predictive Modeling
Updated: Sep 13, 2026
Q & A: 0 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics on Big Data | 40% | - Build random forest models - Analyze categorical and interval targets using SAS Visual Statistics - Use PROC IMSTAT and high-performance analytics - Perform cluster analysis and principal component analysis |
| Topic 2: Neural Networks | 20% | - Apply optimization methods for network training - Construct custom network architectures - Use architectures for linear and non-linear modeling - Describe key concepts underlying neural networks |
| Topic 3: Logistic Regression | 30% | - Variable screening and model selection - Score new data using LOGISTIC and PLM procedures - Prepare input data and handle categorical variables - Interpret ROC, lift and gains charts |
| Topic 4: Open Source Models in SAS | 10% | - Incorporate Python programs into SAS Enterprise Miner - Incorporate R programs into SAS Enterprise Miner |
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