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SASInstitute A00-407 Exam Syllabus Topics:

SectionWeightObjectives
Post-Forecasting Analysis15%-20%- Manage forecast outputs
  • 1. Export forecasting results
  • 2. Share forecasting projects
- Evaluate forecasting results
  • 1. Interpret model performance metrics
  • 2. Analyze forecast outputs
  • 3. Assess forecast accuracy
Pipeline Modeling and Forecasting25%-30%- Build forecasting pipelines
  • 1. Create and configure forecasting pipelines
  • 2. Fit and refine forecast models
  • 3. Compare forecasting models
- Hierarchical forecasting
  • 1. Generate hierarchical forecasts
  • 2. Reconcile forecasts across hierarchy levels
  • 3. Create hierarchical structures
Data Visualization and Forecasting Project Setup15%-20%- Visualize data using attribute variables
  • 1. Load attributes tables
  • 2. Create visualizations using attribute variables
  • 3. Identify use cases for attribute variables
- Create forecasting projects and load data
  • 1. Define variable roles
  • 2. Load data from various sources
  • 3. Use Data tab functionality
Optimization Concepts and Modeling30%-35%- Nonlinear programming
  • 1. Apply solver options
  • 2. Solve nonlinear optimization problems
  • 3. Differentiate NLP algorithms
- Linear programming
  • 1. Solve linear programming models using OPTMODEL
  • 2. Formulate optimization problems
  • 3. Define objective functions and constraints
- Mixed Integer Linear Programming
  • 1. Identify optimality conditions
  • 2. Solve MILP problems using OPTMODEL
  • 3. Build MILP models

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