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SASInstitute A00-405 Questions & Answers - in .pdf

A00-405 pdf
  • Total Q&A: 62
  • Update: Aug 22, 2026
  • Price: $59.99
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  • Vendor: SASInstitute
  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
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SASInstitute A00-405 Q&A - Testing Engine

A00-405 Study Guide
  • Total Q&A: 62
  • Update: Aug 22, 2026
  • Price: $59.99
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  • Vendor: SASInstitute
  • Exam Code: A00-405
  • Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
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SASInstitute A00-405 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS Viya 3.5 Natural Language Processing and Computer Vision
Exam Number:A00-405
Passing Score:Not publicly disclosed by SAS
Exam Price:USD 180
Available Languages:English
Certificate Validity Period:5 years
Exam Duration:90 minutes
Real Exam Qty:60
Exam Format:Multiple choice, Short answer, Drag and drop
Recommended Training:Official Exam Content Guide
SAS Visual Text Analytics and Computer Vision Courses
Exam Registration:Pearson VUE Registration
SAS Certification Portal
Sample Questions:SASInstitute A00-405 Sample Questions
Exam Way:In-person at Pearson VUE test centers / Online proctored
Pre Condition:No official prerequisites; basic SAS Viya and analytics knowledge recommended
Official Syllabus URL:https://www.sas.com/en_us/certification/exam-content-guides/natural-language-computer-vision-specialist.html

SASInstitute A00-405 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Use regularization techniques
  • Loading and Exploring Data
Topic 2
  • Explain the impact of various architectural designs
  • Use a Recurrent Neural Network (RNN) to recognize patterns
Topic 3
  • Load and prepare image data
  • Score new image data
Topic 4
  • Create and explore a project in SAS® Visual Text Analytics
  • Use convolutional layers in a Convolutional Neural Network (CNN)
Topic 5
  • Tune the Hyperparameters of a Convolutional Neural Network (CNN)
  • Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
Topic 6
  • Use fully connected layers in a Convolutional Neural Network (CNN)
  • Identifying Image Patterns Using Computer Vision Techniques
Topic 7
  • Use rules to identify documents belonging to specific categories
  • Use output layers in a Convolutional Neural Network (CNN)
Topic 8
  • Identifying Text Patterns Using Natural Language Processing Techniques
  • Use the Topics Node to extract machine-generated topics

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

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