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