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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Topic 2: Data Profiling | 20% | - Pattern discovery and data domain identification - Analyzing profile results and quality metrics - Column and rule-based profiling |
| Topic 3: Mapping Development and Execution | 12% | - Parameters, variables, and workflow integration - Debugging and performance tuning - Building and testing IDQ mappings |
| Topic 4: Matching and Consolidation | 25% | - Duplicate resolution and golden record creation - Grouping and match strategies - Comparison and Match transformations - Survivorship and consolidation rules |
| Topic 5: Data Quality Concepts and Architecture | 15% | - Informatica Data Quality (IDQ) architecture and components - Core data quality principles - Integration with PowerCenter and Analyst tool |
| Topic 6: Standardization and Cleansing | 20% | - Address validation and cleansing - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management |




