SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision : A00-405

A00-405 testking pdf
1185 Customer Reviews

Exam Code: A00-405

Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision

Updated: Sep 18, 2026

Q & A: 62 Questions and Answers

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About SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision : A00-405 Exam

After payment, preparation starts immediately: TestkingPDF emails the complete SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision package, A00-405 practice questions included, about a minute after your order, with instant download at the same time.

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
Available Languages:English
Exam Price:USD 180
Exam Duration:90 minutes
Real Exam Qty:60
Certificate Validity Period:5 years
Exam Format:Multiple choice, Drag and drop, Short answer
Recommended Training:Official Exam Content Guide
SAS Visual Text Analytics and Computer Vision Courses
Exam Registration:SAS Certification Portal
Pearson VUE Registration
Sample Questions:Free Download A00-405 prep4sure exam
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:

SectionWeightObjectives
Identifying Image Patterns Using Computer Vision Techniques38%- Configure fully connected and output layers
- Apply padding and pooling techniques
- Tune CNN hyperparameters
- Apply regularization and interpret architecture impact
- Score new image data
- Use convolutional layers in CNN
Loading and Exploring Data20%- Load and prepare image data
- Create and explore a project in SAS Visual Text Analytics
- Import documents for analysis
Identifying Text Patterns Using Natural Language Processing Techniques42%- Extract topics using the Topics node
- Write concept rules
- Identify documents via category rules
- Build and apply Recurrent Neural Networks (RNN)
- Extract terms and concepts using Concepts and Text Parsing nodes

SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision Questions, Answered by Experience

SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision is an official SAS Institute certification exam, listed under the code A00-405. Passing it earns the SAS Certified Specialist: Natural Language Processing and Computer Vision Using SAS Viya 3.5 certification at the Specialist level. In an era of lifelong learning, this credential is one of the most efficient ways to prove your skills keep pace.

SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision gives you 60 questions across 90 minutes. The efficient approach: one to two hours of daily timed practice in the TestkingPDF engine builds both the knowledge and the pacing, so exam day feels like simply another well-run session.

Passing SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision takes Not publicly disclosed by SAS, and the official registration fee is USD 180. Retakes cost the full USD 180 again, so treat your TestkingPDF practice scores as the decision-maker: book when the passing line sits below your everyday results, not your best ones.

The SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision syllabus is organized into 3 domains, led by Identifying Image Patterns Using Computer Vision Techniques (38%), Identifying Text Patterns Using Natural Language Processing Techniques (42%), and Loading and Exploring Data (20%). The complete breakdown is above on this page; it is the fastest way to learn where your limited preparation hours belong.

No official prerequisites; basic SAS Viya and analytics knowledge recommended

Vendor policies are revised periodically, so verify the current requirements before registering via the official exam page.

Registration for SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision goes through the official channels below.

For planning: the exam is delivered In-person at Pearson VUE test centers / Online proctored.

SAS Institute recommends the following training for SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision candidates.

Follow any training with daily practice on the 62 questions in the TestkingPDF A00-405 package; sorted by authorized expert groups, they turn course theory into exam-ready skill.

Yes on both counts. Download the free demo of the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision questions first, and browse the comments written by former customers for a second opinion. After purchase, new versions are sent to you as soon as they release, free for 365 days; after expiry, extending the update service costs 50% of the regular price.

Worry-free means a 100% money-back guarantee with stated conditions. Take the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, keeping the update service on your original purchase.

Delivery is instant: download your files the moment you pay, with an email copy arriving within one minute. If nothing arrives within 2 hours, check spam and contact customer service, online 24/7 with infinite patience. Installation is unlimited across your computers.

SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision Sample Questions:

Question #1

What is the minimum information required in an input data set prior to creating a SAS Visual Text Analytics project?

  • A. A column of text and a categorical group variable
  • B. A column of text and a document ID
  • C. A column of text
  • D. A column of text, a document ID and a categorical group variable
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

How many channels does a BGR image contain?

Enter your numeric answer in the space above

Reveal Solution  Discussion  0

Correct Answer:

3

Question #3

Given these two addLayer action calls:

How many trainable parameters for layer fc2?

  • A. 70
  • B. 1000
  • C. 1020
  • D. 1050
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

Complete the concept rule by adding the Boolean Operator that should be used to find concepts where the term
"best" appears within five tokens of the term "picture"

Enter your answer in the field above.

Reveal Solution  Discussion  0

Correct Answer:

DIST_5

Question #5

Complete the concept rule below with the rule type used to extract drug dosages.

Enter your answer in the field above

Reveal Solution  Discussion  0

Correct Answer:

50

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