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Oracle 1z0-1110-22 exam is aimed at data scientists, machine learning engineers, and data analysts who want to validate their skills in Oracle Cloud Infrastructure Data Science. 1z0-1110-22 exam is ideal for professionals who work with data and want to leverage the power of cloud-based technologies to build and deploy machine learning models. 1z0-1110-22 exam is also suitable for professionals who want to transition into a career in data science and want to gain practical experience in building machine learning models using Oracle Cloud Infrastructure Data Science.
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Reference: https://education.oracle.com/oracle-cloud-infrastructure-data-science-2022-professional/pexam_1Z0-1110-22
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Oracle 1z0-1110-22 Exam Syllabus Topics:
| Section | Weight | Objectives |
| OCI Data Science Service Overview and Architecture | 15% | - OCI Data Science vs. traditional data science environments
- OCI Data Science service architecture components
- Understanding OCI Data Science core concepts and features
|
| Integration with OCI Services | 15% | - Logging and monitoring with OCI Logging and Monitoring
- Integration with OCI Functions for serverless inference
- Security and IAM for Data Science resources
- Using OCI Resource Manager and IaC
|
| OCI Data Science API and SDK | 10% | - Using the OCI Python SDK for Data Science
- Automating workflows with SDK
- REST API interactions
|
| Data Storage and Management for Data Science | 15% | - Using OCI Object Storage for data assets
- Data versioning and lifecycle management
- Integrating with OCI Data Flow for large-scale processing
|
| Machine Learning Workflows on OCI | 25% | - Algorithm selection and model development
- Using JupyterLab and conda environments
- Creating and managing ML projects
- Training, tuning, and evaluating models
|
| Model Deployment and Operations | 20% | - Model monitoring and management
- OCI Data Science Model Catalog
- A/B testing and model versioning
- Deploying models as endpoints
|