Exam Name: SAS Viya 3.4 Supervised Machine Learning Pipelines
Certification Provider: SASInstitute
Corresponding Certification: SASInstitute Certification
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Retaking A00-401 can add unnecessary cost and delay to your certification schedule. Preparing with 0 practice questions from Actual4dump helps you evaluate your readiness for SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines before you commit to another exam date.
SASInstitute A00-401 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Viya 3.4 Supervised Machine Learning Pipelines |
| Exam Number: | A00-401 |
| Real Exam Qty: | 50-55 |
| Related Certifications: | SAS Certified Professional: Artificial Intelligence and Machine Learning |
| Passing Score: | 70% |
| Exam Price: | $180 USD |
| Certificate Validity Period: | 5 years |
| Available Languages: | English |
| Exam Format: | Short Answer, Multiple Choice |
| Exam Duration: | 90 minutes |
| Recommended Training: | Official Exam Content Guide Machine Learning Using SAS Viya |
| Exam Registration: | SAS Certification Registration Pearson VUE Registration |
| Exam Way: | In-person at Pearson VUE test centers or online proctored |
| Pre Condition: | Basic knowledge of statistics and predictive modeling; familiarity with SAS Viya and Model Studio recommended |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/advanced-analytics/machine-learning-specialist-34.html |
SASInstitute A00-401 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Assessment and Deployment | 20% | - Model comparison in Model Studio - Export score code - Register and publish models - Model evaluation principles - Fit statistics, ROC, Lift and comparison reports |
| Data Sources | 30% | - Explore and modify data - Understand variable types and measurement scales - Reduce dimensionality and handle redundancy - Create a project in Model Studio - Use Variable Selection node |
| Building Models | 50% | - Regression models - Support vector machines - Decision trees and ensemble models - Supervised learning concepts - Neural networks - Incorporate external and custom code - Autotuning and regularization |
Common Questions About SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines
The A00-401 exam, SAS Viya 3.4 Supervised Machine Learning Pipelines, assesses whether a candidate can apply SASInstitute knowledge to the skills measured by this credential. It is associated with the SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 certification. The certification is positioned at the Specialist level. Related credentials include SAS Certified Professional: Artificial Intelligence and Machine Learning.
The A00-401 exam includes 50-55 questions and allows 90 minutes. Plan your pacing before exam day rather than calculating it under pressure. Timed sessions with Actual4dump practice tests can help you decide when to flag a difficult item, keep moving, and reserve enough time for a final review.
The published passing score for SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines is 70%, and the official exam fee is $180 USD. A retake requires budgeting for the full official fee again, so it is sensible to complete several timed practice tests before scheduling. Consistent results across the 0 practice questions can give you a clearer picture of your readiness.
The stated prerequisite information for SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines is: Basic knowledge of statistics and predictive modeling; familiarity with SAS Viya and Model Studio recommended Before registering, review the eligibility details on the official exam page to confirm the requirements.
You can register for SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines through the following channels:
The available exam delivery format is In-person at Pearson VUE test centers or online proctored.
The following official training resources are recommended for SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines:
After reviewing these training options, you can reinforce each topic with 0 practice questions from Actual4dump.
Yes. Actual4dump provides a free PDF demo so you can review the format and quality of the SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines practice questions before placing an order. Your purchase includes 365 days of free updates, and you can extend the update service after expiration at a 50% discount.
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The published SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines outline contains 3 major domains. The opening domains include:
- Model Assessment and Deployment (20%)
- Data Sources (30%)
- Building Models (50%)
Review the complete Exam Topics section above for every domain and subtopic before planning your study time.
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