Oracle Cloud Infrastructure platform is a highly scalable and flexible cloud platform that provides a wide range of services for data scientists. These services include powerful compute instances, robust storage options, and a broad range of machine learning tools and frameworks. Data scientists who obtain the Oracle Cloud Infrastructure Data Science 2022 Professional certification will be able to leverage these tools and services to build and deploy highly scalable and efficient data science solutions.
Reference: https://education.oracle.com/oracle-cloud-infrastructure-data-science-2022-professional/pexam_1Z0-1110-22
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Oracle 1z0-1110-22 certification exam is intended for data scientists, machine learning engineers, and other professionals who work with data science projects on Oracle Cloud Infrastructure. Oracle Cloud Infrastructure Data Science 2022 Professional certification provides a way for individuals to validate their skills and knowledge in this area and can help them advance their careers in the field. Additionally, companies that use Oracle Cloud Infrastructure for their data science projects may prefer to hire or work with certified professionals to ensure the highest level of expertise in this area.
Oracle 1z0-1110-22 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Model Development and AutoML | 20% | - Using Oracle AutoML
- Training and optimizing models
- Working with JupyterLab and Conda environments
- Model evaluation and validation
|
| Data Storage, Preparation and Management | 15% | - Data versioning and lifecycle management
- Data integration with OCI storage services
- Data labeling and dataset creation
|
| API, SDK and Automation | 15% | - OCI Data Science REST API
- Workflow automation
- Python SDK usage
|
| OCI Data Science Service Overview and Architecture | 15% | - Tenancy configuration and setup
- Core concepts and features
- Service architecture and components
|
| Model Deployment and MLOps | 20% | - Deploying models as REST endpoints
- A/B testing and lifecycle management
- Model monitoring and versioning
- Model Catalog usage
|
| Integration with OCI Services | 15% | - OCI Data Flow for large-scale processing
- OCI AI Services integration
- OCI Logging, Monitoring and IAM
- OCI Functions and serverless inference
|