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 certification exam is a valuable credential for professionals who use SAS Visual Statistics to analyze data and build predictive models. By earning this certification, individuals can demonstrate their expertise in using SAS Visual Statistics to solve complex business problems, which can enhance their career prospects and help them stand out in a competitive job market.
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The SAS Institute A00-274 exam is designed to test the candidate's knowledge and skills in building interactive models using SAS Visual Statistics 8.4 on SAS Viya. A00-274 exam is intended to evaluate the individual's ability to create models using SAS Visual Statistics 8.4 and to validate their proficiency in using SAS Viya.
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SASInstitute A00-274 certification exam is designed for individuals who want to demonstrate their proficiency in interactive model building using SAS Visual Statistics 8.4 on SAS Viya. A00-274 exam is designed to test the candidate's ability to create and validate predictive models using SAS Visual Statistics. Interactive Model Building using SAS Visual Statistics 8.4 on SAS Viya certification is suitable for data analysts, statisticians, and data scientists who work with large datasets and want to build accurate models that can be used for business purposes.
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SASInstitute A00-274 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Model Comparison and Scoring | 9% | - Interpret scoring results
- Compare multiple models using appropriate metrics
- Apply models to score new data
|
| SAS Visual Statistics Cross-Functional Tasks | 22% | - Perform model validation
- Filter data for modeling
- Prepare data using SAS Visual Analytics
- Use interactive group-by functionality
|
| Building and Assessing Regression-Type Models | 41% | - Build generalized additive models
- Explain linear model concepts and assumptions
- Perform nonparametric logistic regression modeling
- Evaluate linear regression model results
- Interpret and validate regression model outputs
- Perform linear regression modeling
|
| Building and Assessing Segmentation Models | 28% | - Supervised segmentation using decision trees
- Assess and interpret decision tree performance
- Unsupervised segmentation using cluster analysis
- Interpret and analyze cluster results
|