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SASInstitute A00-274 exam is a valuable certification test for individuals who want to advance their careers in data analytics using SAS software. A00-274 exam covers various topics related to interactive model building using SAS Visual Statistics 8.4 on SAS Viya, including data preparation, exploratory analysis, model building, and evaluation. Passing the exam and receiving the SAS Certified Visual Modeler Using SAS Visual Statistics 8.4 on SAS Viya certification proves that the candidate has the necessary skills to use SAS Visual Statistics to build interactive models that can be used to solve real-world business problems.
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Candidates for the A00-274 exam should have experience in data analysis and modeling, as well as a strong understanding of SAS Visual Statistics. A00-274 exam is designed to be challenging, but fair, and is intended to validate the skills and knowledge of candidates in SAS Visual Statistics.
A brief introduction to the course
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SASInstitute A00-274 exam is a 2-hour long exam that consists of 70 multiple-choice and short-answer questions. A00-274 exam evaluates the candidate's knowledge of SAS Viya, SAS Visual Statistics, and interactive model building techniques. A00-274 exam is available in English and is administered at Pearson VUE testing centers worldwide.
SASInstitute A00-274 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Building and assessing segmentation models | 28% | - Analyze cluster results
- Perform unsupervised segmentation using cluster analysis
- Perform supervised segmentation using decision trees
- Assess decision tree results
|
| Building and assessing regression-type models | 41% | - Explain and perform linear and generalized regression modeling
- Assess model results (Fit statistics, ROC, residuals, predictions)
- Perform generalized additive and nonparametric logistic regression
- Perform logistic regression modeling
|
| Model comparison and scoring | 9% | - Compare models
- Score models and export score code
|
| SAS visual statistics cross-functional tasks | 22% | - Prepare data using SAS Visual Analytics
- Use interactive group-by
- Perform model validation
- Filter data used for a model
|
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