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SASInstitute A00-401 certification exam tests candidates on their ability to design and build supervised machine learning pipelines using SAS Viya 3.4. This includes tasks such as data preparation, feature engineering, model selection, optimization, and deployment. A00-401 exam is designed to evaluate a candidate's proficiency in using SAS Viya 3.4 to solve real-world problems in a variety of industries.

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SAS Viya 3.4 is a powerful platform for data analytics that enables users to build and deploy machine learning models quickly and easily. It provides a comprehensive set of tools and techniques for data preparation, feature engineering, model creation, and model deployment. The SASInstitute A00-401 certification exam tests the candidate's proficiency in using these tools and techniques to develop and deploy supervised machine learning pipelines.

SASInstitute A00-401 Exam Syllabus Topics:

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

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