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How to Pass SAS Viya Forecasting and Optimization (A00-407) Exam?

Click Here---> https://bit.ly/42kTcQU <---Get complete detail on A00-407 exam guide to crack SAS Viya Forecasting and Optimization. You can collect all information on A00-407 tutorial, practice test, books, study material, exam questions, and syllabus. Firm your knowledge on SAS Viya Forecasting and Optimization and get ready to crack A00-407 certification. Explore all information on A00-407 exam with number of questions, passing percentage and time duration to complete test.

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How to Pass SAS Viya Forecasting and Optimization (A00-407) Exam?

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  1. How to Prepare for SAS Viya Forecasting and Optimization A00-407 Certification? A00-407 Certification Made Easy with AnalyticsExam.com.

  2. SAS A00-407 Exam Summary: Exam Name SAS Certified Specialist - Forecasting and Optimization Using SAS Viya Exam Code A00-407 No. of Questions 50 Passing Score 68% Time Limit 90 minutes Exam Fees $180 (USD) Online Practice Test SAS A00-407 Certification Practice Exam Sample Questions SAS A00-407 Certification Sample Question Rise & Shine with AnalyticsExam.com

  3. SAS A00-407 Syllabus Content: Syllabus Topics: ● Data Visualization (15% - 20%) ● Pipeline Modeling (25% - 30%) ● Hierarchical Forecasting (15% - 20%) ● Post-Forecasting Functionality (10% - 15%) ● Optimization (25% - 30%) Rise & Shine with AnalyticsExam.com

  4. SAS A00-407 Training: Recommended Training: ● Forecasting Using Model Studio in SAS Viya ● Optimization Concepts for Data Science and Artificial Intelligence Rise & Shine with AnalyticsExam.com

  5. Tips to Prepare for A00-407 ● Understand the all Syllabus Topics. ● Perform SAS Viya Forecasting and Optimization online test at AnalyticsExam.com. ● Identify your weak areas from SAS Viya Forecasting and Optimization mock test and asses yourself frequently. Rise & Shine with AnalyticsExam.com

  6. SAS A00-407 Sample Questions Rise & Shine with AnalyticsExam.com

  7. Que.: 1 : The number of Lagrangian multipliers (dual values) in a given linear programming problem is equal to the number of what? Options: a) decision variables b) objective functions c) index sets d) constraints Rise & Shine with AnalyticsExam.com

  8. Answer: d) constraints Rise & Shine with AnalyticsExam.com

  9. Que.: 2 : A company's goal is to generate best forecasts. Their focus is widget sales for the next thirty days from the current time interval. Typically, what is the preferred accumulation method and time interval for the data? Options: a) Weekly average b) Weekly total c) Monthly average d) Monthly total Rise & Shine with AnalyticsExam.com

  10. Answer: d) Monthly total Rise & Shine with AnalyticsExam.com

  11. Que.: 3 : Which situation will result in an override conflict in SAS Visual Forecasting? Options: a) Two or more overrides cannot be reconciled for the same time period. b) An override affects a combined model forecast. c) An override is applied to an aggregated forecast, and one or more components of the aggregated forecast come from models having events or independent variables. d) Two or more overrides exceed 100% APE. Rise & Shine with AnalyticsExam.com

  12. Answer: a) Two or more overrides cannot be reconciled for the same time period. Rise & Shine with AnalyticsExam.com

  13. Que.: 4 : Weighted performance measures like WAPE (weighted absolute percent error) are primarily useful for which task in a Model Studio forecasting project? Options: a) summarizing model performance for selecting a Champion pipeline for the project b) correcting the bias found in unweighted performance measures in the process of selecting a champion pipeline for the project c) selecting the champion model for an individual series in a pipeline for a project d) choosing which series require overrides prior to choosing the champion pipeline for the project Rise & Shine with AnalyticsExam.com

  14. Answer: a) summarizing model performance for selecting a Champion pipeline for the project Rise & Shine with AnalyticsExam.com

  15. Que.: 5 : Attribute variables are primarily useful to do what in a Model Studio Forecasting project? Options: a) Visualize the data and operate on generated forecasts outside the hierarchy defined by the project’s BY variables. b) Define the project's data hierarchy, and visualize the level data contained in the attribute variable. c) Visualize the project’s data hierarchy, and operate on generated forecasts inside the hierarchy. d) Augment the project’s BY variables to define the data hierarchy for modeling and overrides. Rise & Shine with AnalyticsExam.com

  16. Answer: a) Visualize the data and operate on generated forecasts outside the hierarchy defined by the project’s BY variables. Rise & Shine with AnalyticsExam.com

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