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Last Updated: Jul 26, 2026
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| Section | Objectives |
|---|---|
| Running Jobs Using Pipelines | - Run pipelines - Create and modify pipelines |
| Creating Data Integrations | - Manage global, application, and source period mappings - Create direct integrations - Create File-Based Integrations - Period and category mapping concepts - Integrate data from other data sources |
| Optimizing Performance in Data Integration | - Optimize integration performance - Analyze job logs - Troubleshoot data integration issues - Performance tuning and considerations |
| Introduction to Data Integration | - EPM Integration Agent capabilities - Data integration features |
| Moving Data with Data Maps | - Role of data maps and Smart Push - Create, modify, and manage data maps - Move data using Data Map and Smart Push - Configure Smart Push |
| Register Applications | - Define and register application details and options - Source and target application categories and supported types |
| Configure Source Connections | - Configure source connections - Source connection overview |
| Extracting Source Data and Metadata Using EPM Integration Agent | - Run jobs using EPM Integration Agent - Install, configure, and start EPM Integration Agent |
| Run Data Integrations | - Execute data integrations - View process details - Review data in the workbench |
| Navigating to Source Systems Using Drill Through | - Set up drill through - Role and purpose of drill through |
1. What happens if a mismatch is detected in the dimensional mappings during data integration?
A) The integration skips the unmatched data
B) The system logs an error and halts the integration
C) Oracle Cloud EPM adjusts mappings automatically
D) The data is imported without validation
2. In Oracle Cloud EPM, what does testing the source connection verify?
A) The alignment of data with the target application
B) That the integration job is optimized for performance
C) That the system can connect to the source using the defined settings
D) The correctness of period mappings
3. Which step is necessary to enable drill-through for a data integration?
A) Define drill regions during dimensional mapping
B) Configure metadata synchronization rules
C) Set up batch processing for data integrations
D) Create a Smart Push job
4. What is the primary purpose of analyzing job logs in data integration?
A) To enable real-time data synchronization
B) To monitor user activity
C) To optimize dimensional security settings
D) To identify errors and bottlenecks in integration processes
5. What should you do if a data map fails to move data?
A) Disable validation rules in the data map
B) Check the dimensional mappings and error logs for issues
C) Create a new data map to replace the failed one
D) Re-run the data map without reviewing the error log
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: B |
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