SASInstitute A00-274 exam dumps - Interactive Model Building using SAS Visual Statistics 8.4 on SAS Viya

  • Exam Code: A00-274
  • Exam Name: Interactive Model Building using SAS Visual Statistics 8.4 on SAS Viya
  • Updated: Aug 31, 2026     Q & A: 0 Questions and Answers

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SASInstitute A00-274 certification exam is a great way to demonstrate your skills in advanced statistical modeling techniques and data visualization using SAS Viya. A00-274 exam covers a wide range of topics, and you will be tested on your ability to use SAS Viya to build interactive models, create visualizations, and deploy models in production environments. To prepare for the exam, SASInstitute recommends that you take the SAS Visual Statistics 8.4: Interactive Model Building course and use other training resources available.

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SASInstitute A00-274 exam covers a wide range of topics related to interactive model building and data visualization using SAS Visual Statistics on SAS Viya. Candidates are required to demonstrate their ability to use SAS Viya features such as exploratory data analysis, predictive modeling, and model validation to build and optimize complex predictive models. A00-274 exam is suitable for both beginners and experienced professionals looking to improve their knowledge and skills in the field of data analysis.

SASInstitute A00-274 exam is specially designed to test a candidate's knowledge and skills in building interactive models using SAS Visual Statistics 8.4 on SAS Viya. Interactive Model Building using SAS Visual Statistics 8.4 on SAS Viya certification is intended for candidates who wish to pursue a career in data analytics or individuals who already work in the field and want to enhance their skills set further. A00-274 exam will test the candidate’s ability to build and analyze predictive models using SAS Visual Statistics to produce valuable business insights.

SASInstitute A00-274 Exam Syllabus Topics:

SectionWeightObjectives
Building and assessing regression-type models41%- Perform logistic regression modeling
- Assess model results (Fit statistics, ROC, residuals, predictions)
- Perform generalized additive and nonparametric logistic regression
- Explain and perform linear and generalized regression modeling
Building and assessing segmentation models28%- Assess decision tree results
- Analyze cluster results
- Perform unsupervised segmentation using cluster analysis
- Perform supervised segmentation using decision trees
Model comparison and scoring9%- Compare models
- Score models and export score code
SAS visual statistics cross-functional tasks22%- Perform model validation
- Filter data used for a model
- Use interactive group-by
- Prepare data using SAS Visual Analytics

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