Official Certification Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
Number of Questions with Accurate Answers: 85
Exam Vendor / Provider: SAS Institute
Required Passing Marks: 73%
Maximum Allowed Time: 165
Content Updated On: January 26, 2026
The A00-255 exam is your entry to becoming a SAS Certified Predictive Modeler Using SAS Enterprise Miner 14. This certification validates your expertise in data preparation, predictive modeling, model assessment, and pattern analysis. Here’s how to get ready:
Prepare Data : Start with a solid foundation in preparing data for analysis. You’ll need to understand various data sources and techniques for data manipulation and transformation.
Build Predictive Models: This is the core of the exam, accounting for 35-40% of the content. Learn to construct robust predictive models using SAS Enterprise Miner, including decision trees, regression models, and neural networks.
Assess and Implement Models: Equally important is the ability to evaluate model performance and implement the best models. This section covers 25-30% of the exam.
Perform Pattern Analysis: Finally, hone your skills in identifying patterns within data, which makes up 10-15% of the exam content.
Training and Resources: SAS offers a range of exercise tools to help you succeed. Learning the Applied Analytics Using SAS Enterprise Miner course to get hands-on experience with SAS tools. Supplement your learning with free tutorials, webinars, practice software, and sample questions available on the SAS website.
Practice Exams: Taking practice exams is key. They not only familiarize you with the exam format but also highlight areas where you need more study. Take advantage of the free practice exams offered by SAS.
Academic Discounts: If you’re a student or educator, don’t miss out on academic discounts for SAS certification exams and e-learning courses.
By utilizing these resources and thoroughly preparing, you can confidently take the A00-255 exam and become a certified SAS Predictive Modeler, advancing your career in analytics and predictive modeling.
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