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

A00-226 real exams

Exam Code: A00-226

Exam Name: SAS Text Analytics, Time Series, Experimentation, and Optimization

Updated: Sep 19, 2026

Q & A: 0 Questions and Answers

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About SASInstitute A00-226 Exam

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SASInstitute A00-226 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS Text Analytics, Time Series, Experimentation, and Optimization
Exam Number:A00-226
Certificate Validity Period:Does not expire (once earned)
Related Certifications:Predictive Modeling Using SAS Enterprise Miner 14 (A00-255)
SAS Advanced Predictive Modeling (A00-225)
Exam Duration:110 minutes
Available Languages:English
Exam Format:Multiple choice, Short answer, Interactive performance-based questions
Real Exam Qty:50–55
Exam Price:$180 USD
Passing Score:68%
Recommended Training:SAS Text Analytics Training (SAS Learning)
SAS Advanced Analytics Professional Prep
Exam Registration:Pearson VUE SAS Exams
SAS Certification Registration Portal
Exam Way:Online or onsite via Pearson VUE testing centers
Pre Condition:Recommended: strong SAS programming knowledge and experience with SAS/ETS, SAS Text Analytics, and SAS/OR. No strict formal prerequisite.
Official Syllabus URL:https://www.sas.com/en_us/certification/credentials/advanced-analytics/advanced-analytics-professional/text-analytics-exam.html

SASInstitute A00-226 Exam Syllabus Topics:

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

                                                A00-226 Exam Prep: Tools, Policies, and Support

                                                SASInstitute lists the following prerequisites for the SASInstitute SAS Text Analytics, Time Series, Experimentation, and Optimization: Recommended: strong SAS programming knowledge and experience with SAS/ETS, SAS Text Analytics, and SAS/OR. No strict formal prerequisite..

                                                Verify the current requirements on the official certification page before registering.

                                                Registration runs through the official channels below:

                                                Choose your test center or online session and book early — a fixed date turns intention into schedule.

                                                The SASInstitute SAS Text Analytics, Time Series, Experimentation, and Optimization blueprint is organized around these main domains:

                                                • Optimization (20%)
                                                • Text Analytics (30%)
                                                • Time Series (30%)

                                                Additional domains follow in the official outline; our bank covers the complete set.

                                                Per the latest exam information, the A00-226 exam contains 50–55 questions and allows 110 minutes minutes. The software and online engines let you rehearse under those exact conditions.

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                                                Currently, the A00-226 exam requires a passing score of 68%, and the registration fee is $180 USD. Both figures belong to SASInstitute and can change, so confirm them on the official site when you book.

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