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SASInstitute A00-274 valid exam - in .pdf Free Demo

  • Exam Code: A00-274
  • Exam Name: Interactive Model Building using SAS Visual Statistics 8.4 on SAS Viya
  • Last Updated: Jul 31, 2026
  • Q & A: 0 Questions and Answers
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  • Exam Code: A00-274
  • Exam Name: Interactive Model Building using SAS Visual Statistics 8.4 on SAS Viya
  • Last Updated: Jul 31, 2026
  • Q & A: 0 Questions and Answers
  • Uses the World Class A00-274 Testing Engine. Free updates for one year. Real A00-274 exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.

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SASInstitute A00-274 certification exam is ideal for professionals who work in the field of data analysis, machine learning, and statistical modeling. Interactive Model Building using SAS Visual Statistics 8.4 on SAS Viya certification helps individuals to demonstrate their proficiency in using the SAS Viya platform for building interactive and exploratory models. The A00-274 exam is also beneficial for individuals who want to enhance their career prospects and job opportunities in the field of data analysis and modeling. By passing this certification exam, individuals can prove their proficiency in using SAS Viya for data analysis and modeling, which is a valuable skill in today's data-driven business environment.

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SASInstitute A00-274 certification exam is designed for individuals who want to showcase their expertise in interactive model building using SAS Visual Statistics 8.4 on the SAS Viya platform. A00-274 exam tests the candidate's knowledge of using SAS Viya for creating interactive and exploratory models to analyze data. A00-274 exam covers various topics such as data preparation, data exploration, model building, and model assessment using SAS Viya.

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SASInstitute A00-274 Exam Syllabus Topics:

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

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