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Oracle 1z0-1110-22 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Deployment and Operations | 20% | - Model monitoring and management - OCI Data Science Model Catalog - Deploying models as endpoints - A/B testing and model versioning |
| Data Storage and Management for Data Science | 15% | - Using OCI Object Storage for data assets - Integrating with OCI Data Flow for large-scale processing - Data versioning and lifecycle management |
| OCI Data Science API and SDK | 10% | - Using the OCI Python SDK for Data Science - REST API interactions - Automating workflows with SDK |
| OCI Data Science Service Overview and Architecture | 15% | - OCI Data Science vs. traditional data science environments - Understanding OCI Data Science core concepts and features - OCI Data Science service architecture components |
| Integration with OCI Services | 15% | - Integration with OCI Functions for serverless inference - Using OCI Resource Manager and IaC - Security and IAM for Data Science resources - Logging and monitoring with OCI Logging and Monitoring |
| Machine Learning Workflows on OCI | 25% | - Creating and managing ML projects - Training, tuning, and evaluating models - Using JupyterLab and conda environments - Algorithm selection and model development |
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