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Oracle 1Z1-936 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation and Modeling | - Dimensional modeling concepts - Data preparation techniques - Data flows and transformation |
| Topic 2: Essbase and BI Features | - Baseline validation tools - Cube designer and cube operations - Oracle Analytics Cloud Essbase basics |
| Topic 3: Data Visualization and Exploration | - Custom visualization plugins - Flexible visualization layout - Creating analyses and dashboards |
| Topic 4: Data Connectivity and Integration | - Data sync mechanisms - Remote data connectors |
| Topic 5: Oracle Analytics Cloud Concepts | - Editions and capabilities overview - Best practices and administration |
| Topic 6: Oracle Analytics Cloud Provisioning and Lifecycle | - Provisioning Oracle Analytics Cloud services - Service lifecycle management |
| Topic 7: Advanced Analytics and Machine Learning | - Machine learning model creation and use - Advanced analytic calculations |
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