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Last Updated: Aug 03, 2026
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Oracle 1z0-1110-22 certification exam consists of multiple-choice questions that are designed to test the candidate's knowledge and skills in various areas of data science. 1z0-1110-22 exam covers a wide range of topics such as data preparation, feature engineering, machine learning algorithms, data visualization, and data interpretation. 1z0-1110-22 exam also tests the candidate's ability to work with various tools and technologies such as Oracle Cloud Infrastructure Data Science, Jupyter Notebook, and Oracle Autonomous Database. Passing this certification exam demonstrates the candidate's ability to work effectively with large data sets and to use various data science tools and techniques to derive insights and value from the data.
| Section | Weight | Objectives |
|---|---|---|
| Integration with OCI Services | 15% | - Logging and monitoring with OCI Logging and Monitoring - Using OCI Resource Manager and IaC - Security and IAM for Data Science resources - Integration with OCI Functions for serverless inference |
| Machine Learning Workflows on OCI | 25% | - Creating and managing ML projects - Algorithm selection and model development - Using JupyterLab and conda environments - Training, tuning, and evaluating models |
| OCI Data Science API and SDK | 10% | - Automating workflows with SDK - REST API interactions - Using the OCI Python SDK for Data Science |
| Data Storage and Management for Data Science | 15% | - Data versioning and lifecycle management - Integrating with OCI Data Flow for large-scale processing - Using OCI Object Storage for data assets |
| OCI Data Science Service Overview and Architecture | 15% | - OCI Data Science service architecture components - Understanding OCI Data Science core concepts and features - OCI Data Science vs. traditional data science environments |
| Model Deployment and Operations | 20% | - A/B testing and model versioning - Deploying models as endpoints - OCI Data Science Model Catalog - Model monitoring and management |
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