Natural Language & Computer Vision Specialist Practice Exam

Natural Language & Computer Vision Specialist

Natural Language & Computer Vision Specialist

The Natural Language & Computer Vision Specialist exam test the understanding of a candidate relating to text topic detection, sentiment analysis, image processing, image classification and deep learning with static and dynamic data.


Who is this exam for?

For data scientists, text and image analysts, AI specialists and others who analyze text and image data to recognize patterns.


Course Structure 

The important domains and their topics that the Natural Language & Computer Vision Specialist exam covers are: 

1. Loading and Exploring Data (20%)

Import documents for analysis

Create and explore a project in SAS® Visual Text Analytics

Load and prepare image data

2. 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

3. 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


Exam Format

  • Exam Name: Natural Language & Computer Vision Specialist
  • Exam Number: A00-405
  • Number of Questions: 60
  • Exam Format: Multiple-choice
  • Passing score: 70%
  • Time Give: 110 minutes
  • Available languages: English
  • Exam Fee: $180 USD


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