Certification is a road; efficiency is the vehicle. Drive it with the SASInstitute SAS® Viya® Supervised Machine Learning Pipelines prep from CertkingdomPDF — 98 practice questions for the A00-406 exam, plus a year of free updates in 2026.
SASInstitute A00-406 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS® Viya® Supervised Machine Learning Pipelines (SAS Certified Specialist: Machine Learning Using SAS Viya) |
| Exam Number: | A00-406 |
| Certificate Validity Period: | 5 years |
| Exam Format: | Short answer, Multiple choice |
| Exam Price: | USD 180 |
| Passing Score: | 62% |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Real Exam Qty: | 50-55 |
| Related Certifications: | SAS Certified Specialist: Natural Language Processing and Computer Vision Using SAS Viya SAS Certified Specialist: Forecasting and Optimization Using SAS Viya SAS Certified Associate: Applied Statistics for Machine Learning |
| Sample Questions: |  |
| Exam Way: | Administered by SAS and Pearson VUE (online or test center) |
| Pre Condition: | Familiarity with SAS Visual Data Mining and Machine Learning software; basic understanding of statistics recommended |
| Official Syllabus URL: | https://www.sas.com/en_gb/certification/credentials/advanced-analytics/machine-learning-using-sas-viya.html |
SASInstitute A00-406 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Assessment and Deployment | 24-30% | - Assessing model performance (metrics, ROC curves, confusion matrices) - Deploying models into production |
| Topic 2: Building Models | 40-46% | - Model comparison and selection - Supervised model creation (decision trees, ensembles, SVM, neural networks) |
| Topic 3: Data Sources | 30-36% | - Dimensionality reduction and feature engineering - Exploring and modifying data - Importing and preparing data |
SASInstitute A00-406 Exam: Straight Answers
USD 180 per attempt, 62% to pass. A failed retake costs the full fee again — prepare efficiently with the 98 practice questions for the A00-406 exam at CertkingdomPDF.
The SASInstitute SAS® Viya® Supervised Machine Learning Pipelines is SASInstitute's certification exam for SAS Certified Specialist, at the Specialist / Intermediate level. Certification is how workers face new challenges and seize promotion chances. Related credentials include SAS Certified Specialist: Forecasting and Optimization Using SAS Viya, SAS Certified Specialist: Natural Language Processing and Computer Vision Using SAS Viya, SAS Certified Associate: Applied Statistics for Machine Learning.
Yes — new customers get a free SASInstitute SAS® Viya® Supervised Machine Learning Pipelines demo, and regular customers enjoy constant promotions and membership discounts. Purchases include 365 days of free updates by email; renew afterward at 50% off.
The SASInstitute SAS® Viya® Supervised Machine Learning Pipelines blueprint spans 3 domains — including Building Models (40-46%), Model Assessment and Deployment (24-30%), Data Sources (30-36%). Concentrate effort where the weight sits; the complete outline above lists every subtopic.
Familiarity with SAS Visual Data Mining and Machine Learning software; basic understanding of statistics recommended Eligibility rules change over time, so verify the current requirements on the official page (official A00-406 exam page) before registering.
90 minutes for 50-55 questions. Efficient preparation — steady timed practice with the CertkingdomPDF engine — makes the real clock feel generous.
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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
What is a common example of an external data source for an organization?
- A. Employee databases
- B. Internal emails
- C. Intranet portals
- D. Customer surveys
Correct Answer: D 🗳️
Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?
- A. Accuracy
- B. R-squared
- C. Root Mean Squared Error (RMSE)
- D. Mean Absolute Error (MAE)
Correct Answer: A 🗳️
Which SAS Viya component is typically used for deploying and monitoring machine learning models in production?
- A. SAS Visual Analytics
- B. SAS Data Loader
- C. SAS Enterprise Miner
- D. SAS Model Manager
Correct Answer: D 🗳️
Which evaluation metric is commonly used for assessing the performance of a binary classification model?
- A. Accuracy
- B. R-squared
- C. Root Mean Squared Error (RMSE)
- D. Mean Absolute Error (MAE)
Correct Answer: A 🗳️
What is the difference between a classification problem and a regression problem in machine learning?
- A. There is no difference; the terms are used interchangeably.
- B. Classification is a type of regression problem.
- C. Classification predicts categorical outcomes, while regression predicts numeric outcomes.
- D. Regression predicts categorical outcomes, while classification predicts numeric outcomes.
Correct Answer: C 🗳️
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