SASInstitute A00-401 : SAS Viya 3.4 Supervised Machine Learning Pipelines
- Exam Code: A00-401
- Exam Name: SAS Viya 3.4 Supervised Machine Learning Pipelines
- Updated: Oct 08, 2026 Q&As: 0 Questions and Answers
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About SASInstitute A00-401 Exam
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SASInstitute A00-401 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Models | 35% | - Develop supervised machine learning models
|
| Topic 2: Model Assessment and Deployment | 20% | - Evaluate and deploy models
|
| Topic 3: Data Sources and Data Exploration | 25% | - Access and manage data sources
|
| Topic 4: Data Preparation | 20% | - Prepare data for modeling
|
The A00-401 Exam and Our Materials: Full Details
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The SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines blueprint centers on these domains:
- Building Models (35%)
- Data Preparation (20%)
- Data Sources and Data Exploration (25%)
Additional domains complete the official outline, and our bank covers every one.
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SASInstitute states the following prerequisites for the SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines: No formal prerequisite exam required. Candidates should have practical experience with SAS Viya, machine learning concepts, data preparation, model building, assessment, and deployment..
For the authoritative details, see the official certification page.
According to the latest exam information, the A00-401 exam contains 50-60 questions and lasts 100 minutes minutes. Simulating those conditions at home with the PC test engine is excellent preparation for the real environment.
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