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