A00-403 Exam Dumps
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| Certification Provider: | SASInstitute |
|---|---|
| Exam Code / Number: | A00-403 |
| Exam Name: | SAS Viya 3.5 Forecasting and Optimization |
| Exam Questions: | 0 |
| Corresponding Certification: | SASInstitute Certification |
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SASInstitute A00-403 (SAS Viya 3.5 Forecasting and Optimization) Certification Exam consists of 70 multiple-choice and short answer questions that are to be completed in 120 minutes. Candidates must score a minimum of 70% to pass the exam. SAS Viya 3.5 Forecasting and Optimization certification is valid for two years, after which candidates must recertify to remain updated with the latest trends and technologies in forecasting and optimization using SAS Viya 3.5.
To take the SASInstitute A00-403: SAS Viya 3.5 Forecasting and Optimization Exam, candidates must have a solid understanding of statistics and data analysis. They should have experience working with large data sets and be familiar with SAS programming. They should also have experience in forecasting and optimization techniques using SAS Viya 3.5 software.
SASInstitute A00-403 exam is also a way for professionals to differentiate themselves from their peers in the highly competitive data science job market. With more and more companies relying on data-driven decisions, employers are looking for candidates who have the ability to analyze data and provide insights that can drive business growth. Passing the SASInstitute A00-403 exam can help professionals stand out from the crowd and demonstrate their value to potential employers.
SASInstitute A00-403 exam is a comprehensive test that covers a wide range of topics related to forecasting and optimization. A00-403 exam includes questions on SAS Viya 3.5 software, statistical modeling techniques, time series analysis, data preparation, and optimization techniques. Candidates must have a thorough understanding of these topics to pass the exam.
SASInstitute A00-403 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Optimization | 25-30% | - Apply non-linear programming techniques - Solve optimization models in SAS Viya - Formulate linear programming problems - Use mixed integer linear programming |
| Post-Forecasting Functionality | 10-15% | - Evaluate forecast accuracy - Generate forecast reports and outputs - Apply forecast overrides and adjustments |
| Pipeline Modeling | 25-30% | - Refine and compare models - Automate model fitting and selection - Build forecasting pipelines - Deploy forecasting pipelines |
| Hierarchical Forecasting | 15-20% | - Create hierarchical forecast structures - Reconcile forecasts across levels - Apply aggregation/disaggregation methods |
| Data Visualization | 15-20% | - Visualize time series and modeling data - Use attribute variables for analysis - Interpret visual outputs |