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SASInstitute A00-401 Practice Q&A's

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SASInstitute A00-401 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Sources and Data Exploration25%- Access and manage data sources
  • 1. Import and load data into SAS Viya
  • 2. Understand metadata and project structure
  • 3. Explore data distributions and relationships
  • 4. Identify data quality issues
Topic 2: Data Preparation20%- Prepare data for modeling
  • 1. Create derived variables and features
  • 2. Transform and standardize variables
  • 3. Handle missing values
  • 4. Perform variable selection and feature engineering
Topic 3: Building Models35%- Develop supervised machine learning models
  • 1. Gradient boosting
  • 2. Support vector machines
  • 3. Model tuning and comparison
  • 4. Decision trees
  • 5. Neural networks
  • 6. Forest models
Topic 4: Model Assessment and Deployment20%- Evaluate and deploy models
  • 1. Compare competing models
  • 2. Select champion models
  • 3. ROC and lift analysis
  • 4. Assess model performance metrics
  • 5. Publish and deploy models

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