SASInstitute SAS® Viya® Natural Language Processing and Computer Vision : A00-408

A00-408 real exams

Exam Code: A00-408

Exam Name: SAS® Viya® Natural Language Processing and Computer Vision

Updated: Sep 09, 2026

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SASInstitute A00-408 Exam Syllabus Topics:

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

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