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