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A00-408

Updated: Oct 28, 2026

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SASInstitute A00-408 Exam Syllabus Topics:

SectionWeightObjectives
Identifying Text Patterns Using Natural Language Processing Techniques40-45%- Analyze and Model Text Data
  • 1. Perform text categorization
  • 2. Apply text analytics techniques
  • 3. Interpret natural language processing results
  • 4. Identify text patterns
- Extract Terms and Concepts
  • 1. Modify the term table and evaluate impact
  • 2. View document matches and similarity scores
  • 3. Explore and interpret the term map
  • 4. Create custom concepts
  • 5. Evaluate concept impact on the pipeline
  • 6. Use include, exclude, and synonym lists
  • 7. Use predefined concepts
  • 8. Explain the value of concepts
Identifying Text Patterns Using Computer Vision Techniques35-40%- Prepare and Process Images
  • 1. Perform image augmentation
  • 2. Load and manage image data
  • 3. Apply image preprocessing techniques
- Build and Evaluate Deep Learning Models
  • 1. Train convolutional neural networks
  • 2. Apply transfer learning techniques
  • 3. Evaluate model performance
  • 4. Apply regularization and optimization methods
  • 5. Score and classify images
Loading and Exploring Data18-22%- Import Documents for Analysis
  • 1. Explore and prepare documents
  • 2. Minimize information loss when converting proprietary formats
  • 3. Convert documents for analysis
  • 4. Troubleshoot language encoding issues
- Create and Explore a Project in SAS Visual Text Analytics
  • 1. Identify the default pipeline
  • 2. Assign text and category roles
  • 3. Export score code for new data
  • 4. Explore the Documents Table
  • 5. Identify key features of the term table
- Load and Prepare Image Data
  • 1. Load labeled image data
  • 2. Prepare image data for modeling
  • 3. Augment image data

Questions About the SASInstitute SAS® Viya® Natural Language Processing and Computer Vision Package

The SASInstitute SAS® Viya® Natural Language Processing and Computer Vision exam requires a score of 70% to pass, and the official registration fee is $180 USD. Knowing these numbers in advance keeps your planning honest.

Each round of the A00-408 question bank starts from the official exam objectives: experts map the syllabus, draft questions to cover it with precision, and review the result before release. When new exam points appear, the bank is updated accordingly — deliberate coverage, not guesswork.

Any details you leave with us during browsing or purchase are guarded against misuse and external threats, and they are used only to deliver your order and support. Your A00-408 purchase stays between you and us — that is a standing commitment, not a marketing line.

The SASInstitute SAS® Viya® Natural Language Processing and Computer Vision exam contains 60 questions, and you will have 110 minutes minutes to complete them. Practicing under the same constraints makes exam-day pacing feel rehearsed.

The SASInstitute SAS® Viya® Natural Language Processing and Computer Vision exam is scored on a scale where 70% is required to pass, and the official exam fee is $180 USD.

No formal prerequisite exam required. Knowledge of SAS Viya, machine learning, text analytics, and deep learning concepts is recommended.

You can confirm the current eligibility requirements on the official A00-408 exam page before you register.

This package includes 0 practice questions for the SASInstitute SAS® Viya® Natural Language Processing and Computer Vision exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

The SASInstitute SAS® Viya® Natural Language Processing and Computer Vision practice questions are organized around the official exam objectives. Key topics include:

  • Identifying Text Patterns Using Computer Vision Techniques (35-40%)
  • Loading and Exploring Data (18-22%)
  • Identifying Text Patterns Using Natural Language Processing Techniques (40-45%)

Syllabus-driven coverage means no wasted practice on irrelevant material.

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