SAS Certified Specialist:
Natural Language Processing and Computer Vision Using SAS Viya 3.5

Exam Content Guide

Below we provide a list of the objectives that will be tested on the exam.
For more specific details about each objective download the complete exam content guide.

Loading and Exploring Data (20%)

  • Import documents for analysis
  • Create and explore a project in SAS® Visual Text Analytics
  • Load and prepare image data

Identifying Text Patterns Using Natural Language Processing Techniques (42%)

  • Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
  • Write concept rules
  • Use the Topics Node to extract machine-generated topics
  • Use rules to identify documents belonging to specific categories
  • Write category rules
  • Use a Recurrent Neural Network (RNN) to recognize patterns

Identifying Image Patterns Using Computer Vision Techniques (38%)

  • Use convolutional layers in a Convolutional Neural Network (CNN)
  • Use padding in a Convolutional Neural Network (CNN)
  • Use pooling in a Convolutional Neural Network (CNN)
  • Use fully connected layers in a Convolutional Neural Network (CNN)
  • Use output layers in a Convolutional Neural Network (CNN)
  • Tune the Hyperparameters of a Convolutional Neural Network (CNN)
  • Score new image data
  • Explain the impact of various architectural designs
  • Use regularization techniques

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