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IBM A2090-422 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Investigation and Analysis | 20% | - Identifying data quality issues - Data profiling and discovery - Defining data quality rules |
| Topic 2: Job Design and Deployment | 10% | - Testing and tuning - Building QualityStage jobs - Deployment and maintenance |
| Topic 3: Data Matching and Linking | 25% | - Survivorship and consolidation - Match specifications and strategies - Match frequency analysis - Blocking and comparison logic |
| Topic 4: Data Standardization | 25% | - Standardization rules creation - Handling name and address data - Parsing and classification - Reference data and rule sets |
| Topic 5: QualityStage Architecture and Components | 20% | - Integration with DataStage - Overview of InfoSphere Information Server - QualityStage Module Structure |
