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SASInstitute A00-407 Exam Syllabus Topics:

Section	Weight	Objectives
Pipeline Modeling and Forecasting	25%-30%	- Build forecasting pipelines 1. Fit and refine forecast models 2. Create and configure forecasting pipelines 3. Compare forecasting models - Hierarchical forecasting 1. Create hierarchical structures 2. Generate hierarchical forecasts 3. Reconcile forecasts across hierarchy levels
Data Visualization and Forecasting Project Setup	15%-20%	- Visualize data using attribute variables 1. Identify use cases for attribute variables 2. Create visualizations using attribute variables 3. Load attributes tables - Create forecasting projects and load data 1. Load data from various sources 2. Define variable roles 3. Use Data tab functionality
Post-Forecasting Analysis	15%-20%	- Manage forecast outputs 1. Export forecasting results 2. Share forecasting projects - Evaluate forecasting results 1. Assess forecast accuracy 2. Analyze forecast outputs 3. Interpret model performance metrics
Optimization Concepts and Modeling	30%-35%	- Nonlinear programming 1. Differentiate NLP algorithms 2. Apply solver options 3. Solve nonlinear optimization problems - Mixed Integer Linear Programming 1. Solve MILP problems using OPTMODEL 2. Identify optimality conditions 3. Build MILP models - Linear programming 1. Formulate optimization problems 2. Define objective functions and constraints 3. Solve linear programming models using OPTMODEL