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| Section | Objectives |
|---|---|
| Navigating to Source Systems Using Drill Through | - Role and purpose of drill through - Set up drill through |
| Introduction to Data Integration | - EPM Integration Agent capabilities - Data integration features |
| Run Data Integrations | - Review data in the workbench - View process details - Execute data integrations |
| Creating Data Integrations | - Create direct integrations - Period and category mapping concepts - Manage global, application, and source period mappings - Create File-Based Integrations - Integrate data from other data sources |
| Extracting Source Data and Metadata Using EPM Integration Agent | - Install, configure, and start EPM Integration Agent - Run jobs using EPM Integration Agent |
| Running Jobs Using Pipelines | - Run pipelines - Create and modify pipelines |
| Configure Source Connections | - Source connection overview - Configure source connections |
| Optimizing Performance in Data Integration | - Optimize integration performance - Performance tuning and considerations - Analyze job logs - Troubleshoot data integration issues |
| Moving Data with Data Maps | - Role of data maps and Smart Push - Create, modify, and manage data maps - Configure Smart Push - Move data using Data Map and Smart Push |
| Register Applications | - Source and target application categories and supported types - Define and register application details and options |
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NEW QUESTION # 41
How can you optimize the performance of file-based integrations in Oracle Cloud EPM?
Answer: A
NEW QUESTION # 42
What is a key benefit of using Smart Push with data maps?
Answer: B
NEW QUESTION # 43
What feature in Oracle Cloud EPM ensures data consistency by allowing you to re-run failed integrations?
Answer: D
NEW QUESTION # 44
What is the primary purpose of drill-through functionality in Oracle Cloud EPM Data Integration?
Answer: D
NEW QUESTION # 45
Which tool is used to monitor the status of pipeline executions in Oracle Cloud EPM?
Answer: C
NEW QUESTION # 46
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