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IBM 000-416 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Analysis and Investigation | 25% | - Profiling data sources - Defining data quality rules - Understanding data anomalies |
| Matching and Survivorship | 20% | - Match specifications and thresholds - Survivorship and consolidation logic - Deterministic and probabilistic matching |
| QualityStage Architecture and Components | 20% | - QualityStage Server and Client - Data Quality Concepts - Integration with WebSphere Information Server |
| Job Design, Deployment and Administration | 10% | - Creating and configuring QualityStage jobs - Testing and debugging - Deployment and monitoring |
| Data Standardization and Cleansing | 25% | - Handling missing and invalid values - Address and name standardization - Parsing and standardization rules |
IBM WebSphere IIS QualityStage v7.5 Essentials: What Candidates Ask
- Job Design, Deployment and Administration (10%)
- QualityStage Architecture and Components (20%)
- Data Standardization and Cleansing (25%)





