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SASInstitute SAS Text Analytics, Time Series, Experimentation, and Optimization - A00-226 real prep

A00-226
  • Exam Code: A00-226
  • Exam Name: SAS Text Analytics, Time Series, Experimentation, and Optimization
  • Updated: Aug 21, 2026
  • Q & A: 0 Questions and Answers

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SASInstitute A00-226 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Optimization20%- Advanced Optimization Techniques
  • 1. Data Envelopment Analysis (DEA)
    • 2. Constraints, decision variables, and parameter modeling
      - Linear Programming
      • 1. OPTMODEL procedure usage
        • 2. Formulating optimization problems
          Topic 2: Text Analytics30%- Text Processing and Modeling
          • 1. Topic modeling and clustering
            • 2. Tokenization, parsing, and feature extraction
              - Text Mining Data Preparation
              • 1. Create and prepare text data sources for analysis
                • 2. Import and merge text and structured datasets
                  - Text Analytics Applications
                  • 1. Text Rule Builder and SVD-based reduction
                    • 2. Predictive modeling with text features
                      Topic 3: Time Series30%- Time Series Modeling
                      • 1. Unobserved components models
                        • 2. Exponential smoothing models
                          • 3. ARIMA and ARIMAX models
                            - Time Series Fundamentals
                            • 1. Stationarity and transformations
                              • 2. Components: trend, seasonality, noise, cycle
                                - Forecasting and Evaluation
                                • 1. Forecast accuracy metrics and validation
                                  • 2. Holdout sample evaluation
                                    Topic 4: Experimentation and Incremental Response Models20%- Incremental Response Modeling
                                    • 1. Net Information Value (NIV) and WOE concepts
                                      • 2. Treatment vs control group analysis
                                        - Experimental Design
                                        • 1. Design of Experiments (DOE) principles
                                          • 2. Factorial vs OFAT designs
                                            - Business Experimentation
                                            • 1. Marketing campaign response modeling
                                              • 2. Nuisance variable control and blocking

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