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- Total Questions: 98
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Knowing the material and surviving a countdown timer are different skills. The Prep4away desktop test engine reproduces the real A00-406 atmosphere offline, scores your mock exams, and shows your correct answer rate — so by 2026 exam season, the SASInstitute SAS® Viya® Supervised Machine Learning Pipelines feels like a rehearsal you have already done.
SASInstitute A00-406 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS® Viya® Supervised Machine Learning Pipelines |
| Exam Number: | A00-406 |
| Passing Score: | 62% |
| Exam Price: | $180 USD |
| Real Exam Qty: | 50-55 |
| Available Languages: | English |
| Exam Format: | Short answer, Multiple choice |
| Certificate Validity Period: | 5 years |
| Exam Duration: | 90 minutes |
| Recommended Training: | SAS Viya Machine Learning Path SAS Visual Data Mining and Machine Learning |
| Exam Registration: | Pearson VUE Scheduling SAS Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Basic knowledge of SAS Viya, statistics, and supervised machine learning concepts; experience with Model Studio recommended |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/advanced-analytics/machine-learning-using-sas-viya.html |
SASInstitute A00-406 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Building Models | 40-46% | - Build neural networks and SVM models - Build regression models - Use model interpretability tools - Understand supervised machine learning concepts - Integrate custom code - Build decision trees and ensemble models |
| Data Sources | 30-36% | - Create a project in Model Studio - Reduce dimensionality - Perform variable selection - Explore and understand data - Modify and prepare data |
| Model Assessment and Deployment | 24-30% | - Apply model assessment principles - Evaluate and compare model performance - Deploy models into production - Select champion models |
Your SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Questions, Answered
Registration for the SASInstitute SAS® Viya® Supervised Machine Learning Pipelines goes through the official channels listed here:
As for the format, the A00-406 exam is delivered Online proctored or onsite at Pearson VUE test centers — pick whichever fits your situation when you schedule.
The official SASInstitute SAS® Viya® Supervised Machine Learning Pipelines blueprint is divided into 3 domains, led by Model Assessment and Deployment (24-30%), Building Models (40-46%), and Data Sources (30-36%). The full domain-by-domain breakdown is in the syllabus section above — that is the checklist your study plan should follow.
The passing score for the A00-406 exam is 62%, and registering officially costs $180 USD. That fee buys exactly one attempt — if you fall short, the retake is charged in full again, no discount for a second try. The practical move is to measure yourself first: drill the 98 practice questions at Prep4away under timed conditions until your mock scores clear the bar with room to spare, then book your seat.
You can. Prep4away publishes a free PDF demo of the A00-406 practice questions — download it, work through it, and decide on evidence rather than promises. Once you own the full product, 365 days of free updates are included, and an expired product can have its update service renewed at a 50% discount from your member zone.
The A00-406 exam — officially the SAS® Viya® Supervised Machine Learning Pipelines — is how SASInstitute verifies that you can apply its technologies in real working scenarios, and passing it earns you the SAS Certified Specialist: Machine Learning Using SAS Viya certification, a credential at the Specialist level. Employers recognize it because it is vendor-issued and skills-based.
Yes — SASInstitute lists these training options for the SASInstitute SAS® Viya® Supervised Machine Learning Pipelines:
Courseware teaches the concepts; repetition makes them exam-proof. Combine whichever course you choose with the 98 practice questions from Prep4away and you cover both halves of preparation.
You will face 50-55 questions within 90 minutes on the A00-406 exam. Do the math once and the lesson is clear: dwell too long on a hard item and the clock eats your easy points later. The fix is rehearsal, not luck — take full-length timed mocks in the Prep4away desktop or online test engine until pacing becomes automatic, and learn to flag a question, move on, and return with fresh eyes.
First, delivery: your download is available immediately after payment, and the package also arrives in your email within one minute. If 2 hours pass with nothing in your inbox, check spam and contact support — and feel free to install the software on as many computers as you like, there is no device limit.
Second, the safety net: if you sit the A00-406 exam within 60 days of purchase and do not pass, the Prep4away money back guarantee entitles you to a full refund. File the claim within 2 days of the exam with a scanned enrollment slip and your official score report (PDF); claims are processed within 7 days. The candidate name must match the payer name, and the guarantee excludes exams taken within 3 days of purchase, purchases never used in an actual exam attempt, free materials, and expired orders. If you would rather keep studying, you can swap the product for two free exam packages of equal value and keep the update service on your original purchase.
Basic knowledge of SAS Viya, statistics, and supervised machine learning concepts; experience with Model Studio recommended
Vendor policies shift from time to time, so treat this as your starting point and verify the current criteria on the official SASInstitute exam page before you schedule anything.
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
What is the primary purpose of model assessment in the context of data science and machine learning?
- A. Data preprocessing
- B. Data visualization
- C. Evaluating and selecting the best-performing model
- D. Model building
Correct Answer: C 🗳️
What is the purpose of data profiling in data source management?
- A. To optimize data storage
- B. To create data visualizations
- C. To execute data queries
- D. To assess the quality and characteristics of data
Correct Answer: D 🗳️
In a supervised learning pipeline, what is the role of the training data set?
- A. To train the machine learning model
- B. To evaluate the model's predictions
- C. To test the model's generalization capability
- D. To validate the model's performance
Correct Answer: A 🗳️
What is the primary purpose of model deployment in the context of data science and machine learning?
- A. Data preprocessing
- B. Model evaluation
- C. Model building
- D. Making the model available for use in real-world applications
Correct Answer: D 🗳️
Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?
- A. MySQL
- B. MongoDB
- C. Microsoft SQL Server
- D. Oracle Database
Correct Answer: B 🗳️
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