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| Section | Objectives |
|---|---|
| Navigating to Source Systems Using Drill Through | - Set up drill through - Role and purpose of drill through |
| Run Data Integrations | - View process details - Execute data integrations - Review data in the workbench |
| Introduction to Data Integration | - EPM Integration Agent capabilities - Data integration features |
| Configure Source Connections | - Source connection overview - Configure source connections |
| Extracting Source Data and Metadata Using EPM Integration Agent | - Run jobs using EPM Integration Agent - Install, configure, and start EPM Integration Agent |
| Optimizing Performance in Data Integration | - Performance tuning and considerations - Troubleshoot data integration issues - Optimize integration performance - Analyze job logs |
| Register Applications | - Source and target application categories and supported types - Define and register application details and options |
| Creating Data Integrations | - Create File-Based Integrations - Manage global, application, and source period mappings - Period and category mapping concepts - Create direct integrations - Integrate data from other data sources |
| Running Jobs Using Pipelines | - Run pipelines - Create and modify pipelines |
| Moving Data with Data Maps | - Configure Smart Push - Role of data maps and Smart Push - Create, modify, and manage data maps - Move data using Data Map and Smart Push |
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NEW QUESTION # 86
What configuration can improve integration performance when transferring data between large datasets?
Answer: A
NEW QUESTION # 87
Which of the following can negatively affect the performance of Oracle Cloud EPM data integrations?
Answer: C
NEW QUESTION # 88
What is the significance of specifying dimensional mappings during application registration?
Answer: C
NEW QUESTION # 89
What is the purpose of validating source connections during configuration?
Answer: A
NEW QUESTION # 90
What is the role of period mapping in creating data integrations in Oracle Cloud EPM?
Answer: D
NEW QUESTION # 91
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