- Exam Code: A00-225
- Exam Name: SAS Advanced Predictive Modeling
- Certification Provider: SASInstitute
- Corresponding Certification:SASInstitute Certification
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Topics covered by SAS Institute A00-225 exams
- SAS Enterprise Miner High-Performance Data Mining Nodes.
- Predictive Modeling Using Logistic Regression.
- Neural Network Modeling.
- Predictive Modeling Using SAS In-Memory Statistics.
- SAS Academy for Data Science: Advanced Analytics.
- SAS Visual Statistics: Interactive Model Building.
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SAS certification is very niche and specific, the material of the exam is usually very comprehensive. In order to pass an SAS certification exam, you need to know a lot of information. This can be frustrating for some people because they feel like they know a lot but still fail to pass the exam.
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SASInstitute A00-225 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Predictive Analytics on Big Data | 40% | - Scaling models for large datasets - SAS LASR Analytic Server and SAS Visual Analytics - Working with distributed and in-memory data - High-performance modeling techniques |
| Logistic Regression | 30% | - Model assessment and validation - Model building and variable selection - Using SAS/STAT and SAS Enterprise Miner - Interpretation of results |
| Neural Networks | 20% | - Model evaluation and performance - Training and tuning neural models - Implementation in SAS Enterprise Miner - Neural network architecture design |
| Open Source Models in SAS | 10% | - Deploying Python/R models in SAS environment - Integrating open source code with SAS - Productionalization of hybrid models |
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