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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 |
| Exam Price: | USD 180 |
| Passing Score: | Not publicly disclosed by SAS |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Certificate Validity Period: | 5 years |
| Exam Format: | Short answer, Multiple choice, Drag and drop |
| Exam Duration: | 90 minutes |
| Recommended Training: | Official Exam Content Guide SAS Visual Text Analytics and Computer Vision Courses |
| Exam Registration: | SAS Certification Portal Pearson VUE Registration |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identifying Text Patterns Using Natural Language Processing Techniques | 42% | - Build and apply Recurrent Neural Networks (RNN) - Identify documents via category rules - Write concept rules - Extract terms and concepts using Concepts and Text Parsing nodes - Extract topics using the Topics node |
| Topic 2: Identifying Image Patterns Using Computer Vision Techniques | 38% | - Apply regularization and interpret architecture impact - Tune CNN hyperparameters - Use convolutional layers in CNN - Apply padding and pooling techniques - Configure fully connected and output layers - Score new image data |
| Topic 3: Loading and Exploring Data | 20% | - Import documents for analysis - Load and prepare image data - Create and explore a project in SAS Visual Text Analytics |
Common Questions About the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision Exam
The SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam is the official SAS Institute test registered under exam code A00-405. Passing it earns you the SAS Certified Specialist: Natural Language Processing and Computer Vision Using SAS Viya 3.5 certification, a credential at the Specialist level. SAS Institute exams are valued because they test job-ready skills, so a passing score here carries real weight on a resume.
The SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam includes 60 questions to be completed within 90 minutes. Do the pacing math before exam day: with that many items on the clock, you need a steady rhythm and the discipline to flag a hard question and move on instead of stalling. Two or three full timed sessions with the CertkingdomPDF test engine will show you exactly what that pace feels like, so time pressure stops being a factor on the real day.
To pass the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam you need Not publicly disclosed by SAS, and the official registration fee is USD 180. A retake is not discounted: a failed attempt means paying the full USD 180 again, so treat your first sitting as the expensive one. A sensible rule is to book your seat only after you are scoring comfortably above the passing mark on the CertkingdomPDF practice tests, not just squeaking past it once.
No official prerequisites; basic SAS Viya and analytics knowledge recommended
Eligibility rules do change from time to time, so confirm the current requirements before you register on the official exam page.
Registration for the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam goes through the official channels below.
As for the delivery format, the exam is taken In-person at Pearson VUE test centers / Online proctored.
SAS Institute points candidates toward the following training options for SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision.
Course work builds the foundation; question practice makes it stick. The 62 practice questions in the CertkingdomPDF A00-405 package let you rehearse each topic under exam-style pressure before the real thing.
Yes. CertkingdomPDF offers a free PDF demo of the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision material so you can judge the question quality and format before spending anything. After purchase, your license includes 365 days of free updates, and if you want to keep receiving updates after that period, renewals are available at a 50% discount.
If you take the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision exam within 60 days of your purchase and do not pass, CertkingdomPDF backs you with a 100% money-back guarantee. The claim must match the exam your product covers: attempts taken within 3 days of purchase are not eligible (that is too little preparation time), and neither are downloaded-but-unused products, free materials, or expired orders. The candidate name must match the payer name, and you need to submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Prefer not to refund? You can swap instead and receive two other exam products of equal value for free while keeping the update service on your original purchase.
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The official SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision syllabus is organized into 3 domains. Key areas include Loading and Exploring Data (20%), Identifying Text Patterns Using Natural Language Processing Techniques (42%), and Identifying Image Patterns Using Computer Vision Techniques (38%). The complete, up-to-date topic list appears in the exam topics section above; work through it line by line and flag anything you cannot yet explain in your own words.
SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision Sample Questions:
Which concept rule must be used for generating factual extraction within a sentence containing machine learning and text analytics?
A)
B)
C)
D)
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Correct Answer: A 🗳️
Assume:
* You have images In directories user/animals/cats and/user/animals/dogs
* You have a path caslib with name that points to the directory /user.
What value can you use for the LabelLevels parameter of the laodimage action to obtains the string cats and dogs in the _label column of the output table?
- A. "All"
- B. 0
- C. 2
- D. 1
Correct Answer: A 🗳️
Refer to the exhibit.
The pixel intensity values for the top left corner of a 224x224 grey scale image are provided in Exhibit A This image is provided as input to the convolutional filter (Exhibit B) with equal zero padding of size 2 on all sides What is the first value in the feature map resulting from applying this filler (cross-correlation operation)?
- A. 10
- B. 186
- C. 0
- D. 97
Correct Answer: B 🗳️
Which action set is needed to upload a picture into memory using SAS?
- A. Image
- B. Table
- C. DeepLearn
- D. LoadActionSet
Correct Answer: C 🗳️
What sampling method does the DLTUNE action use to sample the hyper parameter values?
- A. Latin Hypercube Sampling
- B. Stratified Random Sampling
- C. Simple Random Sampling
- D. Systematic Sampling
Correct Answer: D 🗳️
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