1Z0-532 practice question 6 of 10

Which three statements are true about Financial Data Quality Management? (Choose three.)

Full set: 76 questions
Answer options
A: It automates the collection, mapping, verification, and movement of data with validation and check points throughout the process. Correct answer
B: It is primarily used by IT (as opposed to business users).
C: It provides extensive reporting for audit, log, and process management information. Correct answer
D: It stores source records in an underlying FDM relational repository. Correct answer
Correct Answer:
A. It automates the collection, mapping, verification, and movement of data with validation and check points throughout the process.; C. It provides extensive reporting for audit, log, and process management information.; D. It stores source records in an underlying FDM relational repository.
Explanation

Oracle Hyperion Financial Data Quality Management (FDM) is built to standardize and streamline financial data management workflows. It automates data collection, mapping, verification, and movement using explicit validation checkpoints and audit rules to ensure data integrity prior to loading into target systems. FDM maintains auditability by storing source records, translation rules, and staging data within an underlying FDM relational repository. Furthermore, FDM offers extensive built-in reporting capabilities for process logs, audit trails, and execution status tracking. Unlike traditional integration utilities, FDM is specifically optimized for finance business end-users rather than IT technical personnel, providing business-driven financial controls and seamless visibility across the entire data lifecycle.

Why Incorrect

B. FDM is designed specifically for financial business users to manage mapping and loading, not IT administrators.

References

1. Oracle Corporation, "Oracle Financial Data Quality Management Administrator's Guide", Release 11.1.2.4, Chapter 1: "FDM Overview and Concepts", pp. 12-18.

2. Oracle Corporation, "Oracle Hyperion Enterprise Performance Management System User Guide", Release 11.1.2.4, Section: "Data Loading with Financial Data Quality Management", pp. 88-93.

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