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To prepare for the SASInstitute A00-401 exam, you should have a good understanding of machine learning concepts and techniques, including data preprocessing, model development, and validation. You should also have experience using SAS Viya 3.4 to build supervised machine learning models. SAS provides training and certification programs to help you prepare for the exam. You can also find sample questions and exam preparation materials online to help you study.
The SAS Institute is a globally recognized leader in analytics software and solutions. Their certifications are highly regarded in the industry and provide individuals with the skills and knowledge needed to excel in their careers. One of the most sought after certifications in their portfolio is the A00-401 SAS Viya 3.4 Supervised Machine Learning Pipelines exam.
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The SAS Viya 3.4 Supervised Machine Learning Pipelines certification exam is an excellent opportunity for both beginners and advanced data scientists to demonstrate their knowledge of supervised machine learning pipelines. Candidates who pass the exam can demonstrate their understanding of supervised machine learning pipelines' features and functionality, which include data preparation, model assessment, and data transformation. These skills are valuable for data scientists, analysts, and other professionals who handle large data sets, perform data analysis, and build predictive models.
SASInstitute A00-401 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Models | 35% | - Develop supervised machine learning models
|
| Topic 2: Data Sources and Data Exploration | 25% | - Access and manage data sources
|
| Topic 3: Data Preparation | 20% | - Prepare data for modeling
|
| Topic 4: Model Assessment and Deployment | 20% | - Evaluate and deploy models
|
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