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SASInstitute A00-408 Exam Syllabus Topics:

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

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