Oracle Cloud EPM Data Integration 2025 Implementation Professional - 1Z0-1133-25 Exam Practice Test

A. Importing transactional data from spreadsheets

B. Establishing live API connections

C. Syncing metadata across multiple applications

D. Direct integration with ERP systems

A. Validating metadata changes in a target application

B. Performing real-time updates from input forms to a reporting cube

C. Moving historical data between two systems

D. Transferring large volumes of archived data

A. That the system can connect to the source using the defined settings

B. The correctness of period mappings

C. That the integration job is optimized for performance

D. The alignment of data with the target application

A. To ensure drill-through is enabled

B. To create integration pipelines automatically

C. To optimize pipeline execution

D. To test the connectivity and credentials

A. Register the source connection in the target system

B. Enable Smart Push for faster data integration

C. Validate the connection to ensure it works correctly

D. Optimize the pipeline to minimize latency

A. Optimizes the integration pipeline for faster execution

B. Confirms that the data format matches the target application

C. Runs the integration in test mode without committing data

D. Checks the correctness of user credentials

A. Registering source and target applications

B. Defining a metadata sync schedule

C. Creating pipelines

D. Setting up Smart Push jobs

A. Synchronize mode deletes target data, while overwrite mode appends to target data

B. Synchronize mode updates existing data, while overwrite mode replaces it entirely

C. Synchronize mode works only for metadata, while overwrite mode is for data

D. Synchronize mode is slower than overwrite mode for large data volumes

A. A method to integrate with external systems via REST APIs or JDBC

B. A process that uses file-based data imports

C. An integration type that runs without user intervention

D. A connection that bypasses period mappings

A. Configure integration pipelines

B. Validate and fix data errors

C. Modify dimensional mappings

D. Drill through to source data