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| Section | Objectives |
|---|---|
| Topic 1: Optimizing Performance in Data Integration | - Analyze job logs - Troubleshoot data integration issues - Performance tuning and considerations - Optimize integration performance |
| Topic 2: Creating Data Integrations | - Integrate data from other data sources - Create direct integrations - Manage global, application, and source period mappings - Create File-Based Integrations - Period and category mapping concepts |
| Topic 3: Navigating to Source Systems Using Drill Through | - Role and purpose of drill through - Set up drill through |
| Topic 4: Run Data Integrations | - View process details - Execute data integrations - Review data in the workbench |
| Topic 5: Register Applications | - Define and register application details and options - Source and target application categories and supported types |
| Topic 6: Extracting Source Data and Metadata Using EPM Integration Agent | - Run jobs using EPM Integration Agent - Install, configure, and start EPM Integration Agent |
| Topic 7: Running Jobs Using Pipelines | - Run pipelines - Create and modify pipelines |
| Topic 8: Introduction to Data Integration | - EPM Integration Agent capabilities - Data integration features |
| Topic 9: Moving Data with Data Maps | - Role of data maps and Smart Push - Configure Smart Push - Create, modify, and manage data maps - Move data using Data Map and Smart Push |
| Topic 10: Configure Source Connections | - Configure source connections - Source connection overview |
1. Which of the following best describes the role of the EPM Integration Agent in Oracle Cloud?
A) It enables direct user access to the EPM dashboard.
B) It monitors EPM job statuses.
C) It facilitates integration with on-premise sources.
D) It automatically optimizes data processing times.
2. What action should be taken if the process log indicates that certain records failed to load during data integration?
A) Skip the failed records and proceed with reporting
B) Investigate and correct the errors in the source data
C) Adjust the dimensional mappings and re-register the application
D) Re-run the integration without making changes
3. What is the purpose of registering an application in Oracle Cloud EPM Data Integration?
A) To create periodic reports for management
B) To generate system-wide audit logs
C) To configure user roles and permissions
D) To define the source and target system details for data integration
4. Which of the following is a recommended practice to optimize performance in Oracle Cloud EPM data integrations?
A) Minimize the use of unnecessary mappings and transformations
B) Run integrations during peak usage times
C) Avoid using period mappings in data integrations
D) Use large batch sizes for all integrations
5. What is the best approach to optimize pipeline execution performance?
A) Define parallel execution for independent jobs
B) Enable metadata synchronization for each job
C) Use multiple drill-through mappings
D) Validate source connections after each run
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: A |
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