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| Section | Objectives |
|---|---|
| Navigating to Source Systems Using Drill Through | - Set up drill through - Role and purpose of drill through |
| Introduction to Data Integration | - EPM Integration Agent capabilities - Data integration features |
| Extracting Source Data and Metadata Using EPM Integration Agent | - Run jobs using EPM Integration Agent - Install, configure, and start EPM Integration Agent |
| Configure Source Connections | - Source connection overview - Configure source connections |
| Run Data Integrations | - Execute data integrations - View process details - Review data in the workbench |
| Optimizing Performance in Data Integration | - Troubleshoot data integration issues - Optimize integration performance - Performance tuning and considerations - Analyze job logs |
| Creating Data Integrations | - Create File-Based Integrations - Create direct integrations - Integrate data from other data sources - Period and category mapping concepts - Manage global, application, and source period mappings |
| Running Jobs Using Pipelines | - Create and modify pipelines - Run pipelines |
| Moving Data with Data Maps | - Move data using Data Map and Smart Push - Role of data maps and Smart Push - Create, modify, and manage data maps - Configure 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 # 87
What is the role of period mapping in creating data integrations in Oracle Cloud EPM?
Answer: B
NEW QUESTION # 88
Which tool is used to monitor the status of pipeline executions in Oracle Cloud EPM?
Answer: D
NEW QUESTION # 89
How does filtering unnecessary data at the source impact data integration performance?
Answer: C
NEW QUESTION # 90
What is a critical step to take after starting the EPM Integration Agent?
Answer: C
NEW QUESTION # 91
Which of the following tools is used to review and validate application details during registration?
Answer: D
NEW QUESTION # 92
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