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Why SAS Institute exams are so difficult and why they're worth taking?
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 |
|---|---|---|
| Open Source Models in SAS | 10% | - Integrating open source code with SAS - Productionalization of hybrid models - Deploying Python/R models in SAS environment |
| Logistic Regression | 30% | - Model building and variable selection - Model assessment and validation - Using SAS/STAT and SAS Enterprise Miner - Interpretation of results |
| Neural Networks | 20% | - Neural network architecture design - Implementation in SAS Enterprise Miner - Training and tuning neural models - Model evaluation and performance |
| Predictive Analytics on Big Data | 40% | - SAS LASR Analytic Server and SAS Visual Analytics - Scaling models for large datasets - Working with distributed and in-memory data - High-performance modeling techniques |




