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1Z0-1084-25
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EPM Data Integration (1Z0-1084-25)

Oracle EPM Data Integration Associate certification training teaches the Data Integration Framework, mapping, transformation, loading, write‑back, drill‑through reporting, and administration, enabling professionals to implement and manage EPM data pipelines efficiently.

90
Minutes
55
Questions
65
Passing Score
$245
Exam Cost

Who Should Take This

It is intended for Oracle EPM analysts, developers, and administrators who have at least one year of experience building or supporting EPM applications and need a solid foundation in data integration concepts. By passing the 1Z0‑1084‑25 exam, they demonstrate the ability to design, load, and maintain reliable data flows that power planning, budgeting, and reporting processes across the enterprise.

What's Covered

1 Data Integration Framework
2 Data Mapping and Transformation
3 Data Loading and Writeback
4 Drill-Through and Reporting
5 Administration and Advanced

What's Included in AccelaStudy® AI

Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats

Course Outline

62 learning goals
1 Data Integration Framework
2 topics

Architecture

  • Identify EPM Data Integration components: Data Management, Data Exchange, and Integration Agent.
  • Configure Data Management with source system registration, import format, and location definitions.
  • Implement Data Exchange for cloud-to-cloud and cloud-to-on-premises data connectivity.
  • Analyze integration architecture to recommend the optimal approach for different data source types.
  • Identify the key components and features of Architecture and describe their primary functions within Oracle EPM Data Integration Associate.
  • Deploy Architecture with integration to analytics, reporting, and audit services for operational visibility.
  • Analyze Architecture configurations to identify process inefficiencies, gaps, and optimization opportunities.

Integration Methods

  • Describe integration methods: Data Management, REST APIs, Smart View, and file-based loading.
  • Configure file-based data loading with import formats, mapping rules, and validation logic.
  • Implement REST API integration for automated data exchange with external systems.
  • Evaluate integration methods to recommend approaches balancing automation with flexibility.
  • Configure Integration Methods with appropriate settings and parameters for a production implementation in Oracle EPM Data Integration Associate.
  • Assess Integration Methods implementations against best practices to identify gaps and recommend improvements.
  • Name the prerequisites, dependencies, and supporting modules required for implementing Integration Methods.
2 Data Mapping and Transformation
2 topics

Dimension Mapping

  • Identify mapping types: explicit, like, between, and multi-dimensional mappings.
  • Configure dimension mappings with source-to-target member mapping and transformation rules.
  • Implement mapping validation with error detection, conflict resolution, and unmapped member handling.
  • Analyze mapping configurations to recommend approaches ensuring accurate data translation.
  • Evaluate Dimension Mapping alternatives and tradeoffs to recommend the optimal configuration for given constraints.
  • Recognize common terminology, setup steps, and best practices associated with Dimension Mapping.

Data Transformation

  • Describe transformation types: conversion, aggregation, and sign-flip transformations.
  • Configure data transformation rules with conditional logic, calculations, and derived values.
  • Implement multi-pass loading with sequential processing, dependency management, and error handling.
  • Evaluate transformation designs to recommend efficient and maintainable data processing logic.
  • List the configuration options and parameters available for Data Transformation and describe when each is appropriate.
  • Apply Data Transformation configuration patterns to meet specific business requirements including regulatory compliance.
3 Data Loading and Writeback
2 topics

Data Loading

  • Identify data load types: replace, accumulate, and subtract load methods.
  • Configure data load rules with target application, dimensions, and processing options.
  • Implement scheduled data loads with batch processing, retry logic, and status monitoring.
  • Analyze data load processes to recommend optimization for performance and accuracy.
  • Implement Data Loading following best practices for process efficiency, compliance, and data accuracy.
  • Diagnose Data Loading issues by analyzing reports, audit trails, and configuration to determine root causes.

Writeback

  • Describe writeback functionality: EPM-to-ERP, EPM-to-EPM, and EPM-to-external writeback.
  • Configure writeback integration with target system mapping, approval, and execution settings.
  • Implement budget writeback from EPM Planning to ERP GL for financial system synchronization.
  • Evaluate writeback configurations to recommend approaches for bidirectional data synchronization.
  • Analyze Writeback configurations to identify process inefficiencies, gaps, and optimization opportunities.
  • Identify the key components and features of Writeback and describe their primary functions within Oracle EPM Data Integration Associate.
4 Drill-Through and Reporting
2 topics

Drill-Through

  • Identify drill-through types: drill-through to source system, Smart View, and URL-based drill.
  • Configure drill-through definitions with URL parameters, filters, and target system connectivity.
  • Implement drill-through from EPM reports to ERP transaction detail for audit support.
  • Analyze drill-through configurations to recommend approaches for effective data traceability.
  • Name the prerequisites, dependencies, and supporting modules required for implementing Drill-Through.
  • Configure Drill-Through with appropriate settings and parameters for a production implementation in Oracle EPM Data Integration Associate.

Reporting

  • Describe integration reporting: data load status, error logs, and processing history.
  • Implement integration monitoring dashboards with load status, error rates, and processing metrics.
  • Configure alerting for data load failures, mapping errors, and processing exceptions.
  • Evaluate reporting configurations to recommend monitoring approaches for integration reliability.
  • Explain how to troubleshoot common issues with Reporting including error messages and resolution procedures.
  • Evaluate Reporting alternatives and tradeoffs to recommend the optimal configuration for given constraints.
5 Administration and Advanced
2 topics

Administration

  • Describe Data Integration administration: agent configuration, scheduling, and security.
  • Configure EPM Integration Agent for on-premises data source connectivity and processing.
  • Implement security configuration with user roles, data access, and processing permissions.
  • Analyze administration practices to recommend governance for data integration management.
  • Compare Administration implementation patterns to determine the best approach for business requirements.
  • List the configuration options and parameters available for Administration and describe when each is appropriate.

Advanced Features

  • Identify advanced features: custom scripts, pre/post-processing actions, and conditional logic.
  • Configure pre-processing and post-processing actions with script execution and conditional steps.
  • Implement custom integration using EPM APIs for complex data transformation and loading scenarios.
  • Evaluate advanced features to recommend automation approaches for complex integration requirements.
  • Describe the architecture and workflow of Advanced Features including integration points with related processes.
  • Implement Advanced Features following best practices for process efficiency, compliance, and data accuracy.

Scope

Included Topics

  • All domains in the Oracle EPM Data Integration Associate exam guide.
  • Core topics: Data Management, Data Integration, Mappings, Drill-Through, Data Load, Writeback, Reporting.
  • Oracle Fusion Cloud services, configuration, and best practices.
  • Scenario-based problem solving at the associate level.

Not Covered

  • Topics outside the official exam guide scope.
  • On-premises legacy application configuration.
  • Specific pricing values that change over time.
  • Custom development beyond standard configuration.

Official Exam Page

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