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Oracle 1Z0-1133-25 Exam Syllabus Topics:

Section	Weight	Objectives
Understanding EPM Cloud Data Integration	15%	- Integration with other Oracle Cloud services - Data Integration components and capabilities - EPM Cloud architecture and data flow
Data Integration Setup and Configuration	20%	- Import and export profile settings - Data management and mapping configurations - Data Integration application configuration - Connection setup to source systems
Data Integration Security and Governance	15%	- Role-based access control in Data Integration - Data encryption and audit trails - Compliance and governance best practices
Data Loading Operations	25%	- Data export and file generation - Scheduling and automation of data loads - Data import workflows and batch processing - Data transformation and business rules execution
Troubleshooting and Performance Optimization	25%	- Common integration errors and resolution - Monitoring and alerting configurations - Log analysis and debugging techniques - Performance tuning for large data volumes

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Oracle Cloud EPM Data Integration 2025 Implementation Professional Sample Questions (Q77-Q82):

NEW QUESTION # 77
How does the EPM Integration Agent handle metadata extraction?

A. By generating default metadata for unstructured data
B. By exporting metadata as flat files
C. By extracting and mapping metadata fields to predefined structures
D. By synchronizing directly with target applications

Answer: C

NEW QUESTION # 78
In which scenarios is drill-through functionality most beneficial?

A. When auditing the accuracy of imported data
B. When defining custom pipelines
C. When optimizing the performance of data integrations
D. When creating global data mappings

Answer: A

NEW QUESTION # 79
Which step is essential before running a data integration in Oracle Cloud EPM?

A. Setting up Smart Push jobs
B. Creating pipelines
C. Registering source and target applications
D. Defining a metadata sync schedule

Answer: C

NEW QUESTION # 80
What is the purpose of enabling "overwrite option" in a data map configuration?

A. To delete existing data in the target application before data movement
B. To create duplicate records in the target application
C. To replace existing data in the target application with source data
D. To skip dimensional mappings during data transfer

Answer: C

NEW QUESTION # 81
What type of errors are typically logged during pipeline execution?

A. Job-level data validation errors
B. Metadata synchronization errors
C. Source connection failures
D. All of the above

Answer: D

NEW QUESTION # 82
......

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