SASInstitute A00-405 real exam prep : SAS Viya 3.5 Natural Language Processing and Computer Vision
- Exam Code: A00-405
- Exam Name: SAS Viya 3.5 Natural Language Processing and Computer Vision
- Updated: Sep 19, 2026
- Q&As: 62 Questions and Answers
About SASInstitute A00-405 Real Exam
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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 Format: | Multiple response, Multiple choice |
| Available Languages: | English |
| Related Certifications: | SAS Viya Programming SAS Viya 3.5 Data Scientist SAS Machine Learning |
| Recommended Training: | SAS Viya Training Courses |
| Exam Registration: | SAS Certification Portal |
| Sample Questions: |  |
| Exam Way: | Online proctored exam or test center delivery depending on region |
| Pre Condition: | No strict prerequisites officially required, but recommended knowledge of SAS programming, machine learning, and basic Python or analytics concepts. |
| Official Syllabus URL: | https://www.sas.com/en_us/certification.html |
SASInstitute A00-405 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: SAS Viya Platform and Model Deployment | - SAS Viya architecture overview
|
| Topic 2: Computer Vision in SAS Viya | - Deep learning for vision
|
| Topic 3: Natural Language Processing (NLP) in SAS Viya | - Text analytics and modeling
|
A00-405 Exam Questions Answered: Details and Services
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The SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision blueprint is structured around these main domains:
- Computer Vision in SAS Viya
- Natural Language Processing (NLP) in SAS Viya
- SAS Viya Platform and Model Deployment
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SASInstitute lists these prerequisites for the SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision: No strict prerequisites officially required, but recommended knowledge of SAS programming, machine learning, and basic Python or analytics concepts..
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SASInstitute SAS Viya 3.5 Natural Language Processing and Computer Vision Sample Questions:
What computation is performed when applying a neural network with Batch Normalization to test data?
- A. Normalizations are applied using parameters learned during testing
- B. µ and o^2 are estimated using an exponentially weighted average across tram and test sets
- C. Normalizations are applied using parameters learned during training
- D. µ and o^2 are estimated using an exponentially weighted average across test set
Correct Answer: B 🗳️
What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)? (Choose two)
- A. to make the feature map invariant to transformation
- B. to extract features of different spatial scale
- C. to extract a summarized value from an area of the image
- D. to increase granularity of information
Correct Answer: B,D 🗳️
Refer to the exhibit.
Which pooling summary operation and minimum square filter size (with stride of four) would generate the output feature map1?
Correct Answer:
1, 1
Which option is incorporated in the dlTune action?
- A. Bayesian Optimization
- B. Simple Random Sampling
- C. Hyperband Method
- D. Genetic Algorithm
Correct Answer: D 🗳️
("Note: This is an interactive item Follow the instructions to answer the question Scroll bars may appear it the windows are too smart Each window can be resized by dragging on the 5 circles located between windows) You are building a CNN for an image classification task Drag the layers on the left to the slots on the right in the appropriate order (from top to bottom) for this task You have the number of layers listed below
* Input Layer (1)
* Output Layer (1)
* Convolutional Layer (1)
* Fully Connected Layer(2>
* Pooling Layer(1)
Correct Answer:
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