Exam Name: SAS Viya 3.4 Supervised Machine Learning Pipelines
Certification Provider: SASInstitute
Corresponding Certification: SASInstitute Certification
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SASInstitute A00-401 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Viya 3.4 Supervised Machine Learning Pipelines |
| Exam Number: | A00-401 |
| Related Certifications: | SAS Certified Specialist: Machine Learning Using SAS Viya |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Scenario-based Questions |
| Recommended Training: | SAS Machine Learning Using SAS Viya Training |
| Exam Registration: | SAS Certification Portal |
| Exam Way: | Online proctored or testing center (availability depends on region) |
| Official Syllabus URL: | https://www.sas.com/en_us/certification.html |
SASInstitute A00-401 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Supervised Machine Learning Concepts | - Model selection principles - Bias-variance tradeoff - Regression and classification fundamentals |
| Data Preparation and Exploration | - Handling missing values and outliers - Feature engineering basics in SAS Viya - Data understanding and quality assessment |
| Model Evaluation and Optimization | - Cross-validation techniques - Performance metrics (AUC, accuracy, RMSE) - Hyperparameter tuning |
| Machine Learning Pipelines in SAS Viya | - Data preprocessing nodes - Pipeline creation in SAS Model Studio - Model training and comparison |
| Model Deployment and Scoring | - Scoring models in SAS Viya - Model governance and lifecycle concepts |
A00-401 Exam Material FAQ
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The SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines practice questions are organized around the official exam objectives. Key topics include:
- Data Preparation and Exploration ()
- Model Deployment and Scoring ()
- Supervised Machine Learning Concepts ()
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