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SASInstitute A00-440 exam, also known as Managing the Model Life Cycle Using ModelOps, is a certification exam designed for professionals who work with data models. A00-440 exam is intended for individuals who have experience in data science, machine learning, and predictive modeling. The SASInstitute A00-440 exam focuses on the techniques and best practices for managing the entire life cycle of a data model, from development to deployment and maintenance.
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| Section | Weight | Objectives |
|---|---|---|
| Model Deployment | 18-22% | - Batch and real-time scoring pipelines - API integration and access control - Deployment environments (on-prem, cloud, containers) - Shadow, canary, blue-green deployment |
| Develop Model Proposal | 23-28% | - Define business objective and impact - Deployment and monitoring strategy - Cost-benefit and risk analysis - Alignment with organizational policies |
| Production Operations | 18-22% | - Data and concept drift detection - Audit, reporting, and compliance - Alerting and intervention workflows - Model retraining and updating - Performance and stability monitoring |
| Define the ModelOps Framework | 18-22% | - ModelOps concepts and principles - Roles and responsibilities - Model lifecycle stages - Governance and compliance requirements |
| Model Development and Management | 23-28% | - Data preparation and preprocessing - Model repository and documentation - Champion-challenger comparison - Model training and evaluation - Model versioning and lineage tracking |
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