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SASInstitute A00-408 Exam Syllabus Topics:

SectionWeightObjectives
Loading and Exploring Data18-22%- Create and Explore a Project in SAS Visual Text Analytics
  • 1. Identify the default pipeline
  • 2. Assign text and category roles
  • 3. Identify key features of the term table
  • 4. Export score code for new data
  • 5. Explore the Documents Table
- Import Documents for Analysis
  • 1. Convert documents for analysis
  • 2. Explore and prepare documents
  • 3. Troubleshoot language encoding issues
  • 4. Minimize information loss when converting proprietary formats
- Load and Prepare Image Data
  • 1. Prepare image data for modeling
  • 2. Augment image data
  • 3. Load labeled image data
Identifying Text Patterns Using Natural Language Processing Techniques40-45%- Analyze and Model Text Data
  • 1. Identify text patterns
  • 2. Perform text categorization
  • 3. Apply text analytics techniques
  • 4. Interpret natural language processing results
- Extract Terms and Concepts
  • 1. Modify the term table and evaluate impact
  • 2. Create custom concepts
  • 3. Use predefined concepts
  • 4. Use include, exclude, and synonym lists
  • 5. Evaluate concept impact on the pipeline
  • 6. Explore and interpret the term map
  • 7. Explain the value of concepts
  • 8. View document matches and similarity scores
Identifying Text Patterns Using Computer Vision Techniques35-40%- Prepare and Process Images
  • 1. Perform image augmentation
  • 2. Load and manage image data
  • 3. Apply image preprocessing techniques
- Build and Evaluate Deep Learning Models
  • 1. Score and classify images
  • 2. Apply regularization and optimization methods
  • 3. Train convolutional neural networks
  • 4. Apply transfer learning techniques
  • 5. Evaluate model performance

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