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SASInstitute A00-255 exam is designed to evaluate the skills of individuals when it comes to predictive modeling using SAS Enterprise Miner 14. The test aims to verify their ability to use SAS Enterprise Miner's tools and techniques to create, refine, and adjust predictive models that can help inform better and more accurate decision-making processes in various industries.
SASInstitute A00-255 Certification Exam is a rigorous and challenging exam that requires a thorough understanding of predictive modeling concepts and techniques. A00-255 exam consists of multiple-choice questions and is timed for two hours. Candidates must achieve a passing score of 70% or higher to earn the certification. A00-255 exam is available in several languages, including English, Chinese, and Japanese.
SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Building Predictive Models | 35–40% | - Build models using neural networks - Build models using regression techniques - Understand predictive modeling concepts - Build models using decision trees |
| Pattern Analysis | 10–15% | - Interpret pattern discovery results - Identify clusters and segments |
| Predictive Model Assessment and Implementation | 25–30% | - Adjust for oversampling and sampling methods - Apply appropriate fit statistics - Score and deploy models - Evaluate performance via profit/loss and comparison |
| Data Sources | 20–25% | - Explore and assess data sources - Create data sources from SAS tables - Modify and prepare source data for modeling |
