SASInstitute A00-408 Exam Information and Actual Questions

  • Exam Code/Number: A00-408
  • Exam Name/Title: SAS® Viya® Natural Language Processing and Computer Vision
  • Certification Provider: SASInstitute
  • Corresponding Certification: SASInstitute Certification

A00-408
FREE EXAM DUMPS QUESTIONS & ANSWERS

SASInstitute
A00-408 Exam
SAS® Viya® Natural Language Processing and Computer Vision

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SASInstitute A00-408 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS® Viya® Natural Language Processing and Computer Vision
Exam Number:A00-408
Related Certifications:SAS Certified Specialist: Machine Learning Using SAS Viya
SAS Certified Specialist: Deep Learning Using SAS Viya
Exam Price:$180 USD
Available Languages:English
Real Exam Qty:60
Exam Duration:110 minutes
Passing Score:70%
Exam Format:Multiple-choice, Short-answer
Certificate Validity Period:5 years
Recommended Training:SAS Programming for Text Analytics
Deep Learning for Computer Vision Using SAS Viya
Exam Registration:SAS Certification Portal
Pearson VUE Registration
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended experience with SAS Viya, text analytics, and deep learning concepts
Official Syllabus URL:https://www.sas.com/en_us/certification/exam-content-guides/natural-language-computer-vision-specialist.html

SASInstitute A00-408 Exam Syllabus Topics:

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


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