A00-401 Exam Dumps
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| Certification Provider: | SASInstitute |
|---|---|
| Exam Code / Number: | A00-401 |
| Exam Name: | SAS Viya 3.4 Supervised Machine Learning Pipelines |
| Exam Questions: | 0 |
| Corresponding Certification: | SASInstitute Certification |
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SASInstitute A00-401 (SAS Viya 3.4 Supervised Machine Learning Pipelines) certification exam is an important certification for professionals who want to demonstrate their expertise in supervised machine learning pipelines using SAS Viya 3.4 software. SAS Viya 3.4 Supervised Machine Learning Pipelines certification is helpful for data scientists, analysts, and other professionals who want to improve their machine learning development skills. A00-401 exam allows candidates to demonstrate to employers or clients that they have the necessary skills, knowledge, and experience to develop, deploy, and manage supervised machine learning models that use SAS Viya 3.4's supervised machine learning pipelines features effectively.
SASInstitute A00-401: SAS Viya 3.4 Supervised Machine Learning Pipelines Exam is one of the most sought-after certifications in the world of data science. A00-401 exam is designed to test the candidate's knowledge and skills in implementing supervised machine learning algorithms in SAS Viya. If you are looking forward to demonstrating your proficiency in supervised machine learning, A00-401 exam is definitely for you.
The SAS Viya 3.4 Supervised Machine Learning Pipelines certification exam covers a wide range of topics related to supervised machine learning, including data preparation, feature engineering, model training, and model deployment. Candidates are expected to have a thorough understanding of the concepts and techniques involved in each of these areas. They must also be familiar with the SAS Viya 3.4 environment and know how to use its various tools and features to build and deploy machine learning models.
SASInstitute A00-401 Certification Exam is designed to test the proficiency of candidates in SAS Viya 3.4 Supervised Machine Learning Pipelines. SAS Viya 3.4 Supervised Machine Learning Pipelines certification exam is intended for data scientists, statisticians, and professionals who are interested in enhancing their skills in machine learning and artificial intelligence. The SAS Viya 3.4 Supervised Machine Learning Pipelines course covers topics such as data preparation, feature engineering, model training, model selection, and deployment.
SASInstitute A00-401 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Optimization | - Hyperparameter tuning - Performance metrics (AUC, accuracy, RMSE) - Cross-validation techniques |
| Supervised Machine Learning Concepts | - Bias-variance tradeoff - Regression and classification fundamentals - Model selection principles |
| Data Preparation and Exploration | - Feature engineering basics in SAS Viya - Handling missing values and outliers - Data understanding and quality assessment |
| Model Deployment and Scoring | - Scoring models in SAS Viya - Model governance and lifecycle concepts |
| Machine Learning Pipelines in SAS Viya | - Model training and comparison - Data preprocessing nodes - Pipeline creation in SAS Model Studio |