SASInstitute A00-405 dumps - in .pdf

A00-405 pdf
  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
  • Updated: Aug 16, 2026
  • Q & A: 62 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
  • Updated: Aug 16, 2026
  • Q & A: 62 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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SASInstitute A00-405 dumps - Testing Engine

A00-405 Testing Engine
  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
  • Updated: Aug 16, 2026
  • Q & A: 62 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Reference: https://www.sas.com/en_ph/certification/exam-content-guides/natural-language-computer-vision-specialist.html

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SASInstitute A00-405 certification exam is designed to assess the knowledge and skills of candidates in the area of Natural Language Processing (NLP) and Computer Vision using SAS Viya 3.5. A00-405 exam is intended for professionals who work in the field of data science and have experience with SAS programming, as well as those who are interested in learning how to use SAS Viya for NLP and computer vision applications. SAS Viya 3.5 Natural Language Processing and Computer Vision certification exam includes questions related to various topics such as text analytics, image processing, neural networks, deep learning, and natural language generation. A00-405 exam is conducted online and consists of multiple-choice questions that test the candidate's understanding of the concepts and their ability to apply them in real-world scenarios.

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SASInstitute A00-405 Exam Syllabus Topics:

SectionWeightObjectives
Identifying Text Patterns Using Natural Language Processing Techniques42%- Write category rules
- Use a Recurrent Neural Network (RNN) to recognize patterns
- Use rules to identify documents belonging to specific categories
- Use the Concepts and Text Parsing Nodes to extract terms and concepts
- Write concept rules
- Use the Topics Node to extract machine-generated topics
Identifying Image Patterns Using Computer Vision Techniques38%- Use output layers in a Convolutional Neural Network (CNN)
- Use regularization techniques
- Use convolutional layers in a Convolutional Neural Network (CNN)
- Tune the hyperparameters of a Convolutional Neural Network (CNN)
- Use padding in a Convolutional Neural Network (CNN)
- Use fully connected layers in a Convolutional Neural Network (CNN)
- Score new image data
- Explain the impact of various architectural designs
- Use pooling in a Convolutional Neural Network (CNN)
Loading and Exploring Data20%- Create and explore a project in SAS Visual Text Analytics
- Import documents for analysis
- Load and prepare image data

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