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| Section | Objectives |
|---|---|
| Topic 1: Run Data Integrations | - Execute data integrations - View process details - Review data in the workbench |
| Topic 2: Introduction to Data Integration | - Data integration features - EPM Integration Agent capabilities |
| Topic 3: Register Applications | - Source and target application categories and supported types - Define and register application details and options |
| Topic 4: Optimizing Performance in Data Integration | - Performance tuning and considerations - Analyze job logs - Troubleshoot data integration issues - Optimize integration performance |
| Topic 5: Extracting Source Data and Metadata Using EPM Integration Agent | - Install, configure, and start EPM Integration Agent - Run jobs using EPM Integration Agent |
| Topic 6: Configure Source Connections | - Configure source connections - Source connection overview |
| Topic 7: Creating Data Integrations | - Manage global, application, and source period mappings - Period and category mapping concepts - Create File-Based Integrations - Integrate data from other data sources - Create direct integrations |
| Topic 8: Navigating to Source Systems Using Drill Through | - Role and purpose of drill through - Set up drill through |
| Topic 9: Running Jobs Using Pipelines | - Run pipelines - Create and modify pipelines |
| Topic 10: Moving Data with Data Maps | - Move data using Data Map and Smart Push - Role of data maps and Smart Push - Configure Smart Push - Create, modify, and manage data maps |
1. What is the purpose of selecting a category (e.g., Actual, Budget) when registering an application?
A) To apply filters during data extraction
B) To organize data based on its business purpose
C) To define application-level permissions
D) To map data to specific periods in the target system
2. Which of the following types of integration is primarily used for importing data from spreadsheets into Oracle Cloud EPM?
A) API-based integration
B) Direct integration
C) File-Based Integration
D) Agent-based integration
3. What type of errors are typically logged during pipeline execution?
A) Source connection failures
B) Metadata synchronization errors
C) All of the above
D) Job-level data validation errors
4. Which of the following is NOT a step in creating a data integration in Oracle Cloud EPM?
A) Configuring source and target mappings
B) Testing source connections
C) Defining metadata drill-through settings
D) Running Smart Push jobs
5. What happens if there is a mismatch in the dimensional mapping of a data map?
A) The system logs an error and halts the data movement
B) Oracle Cloud EPM automatically resolves the mismatch
C) The data movement completes successfully, but the data is ignored
D) The source data is deleted from the source system
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |
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