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SASInstitute A00-262 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Standardization & Quality Knowledge Base | 20% | - Parsing, right-fielding, and transformation logic - Creating standardization schemes - Working with Quality Knowledge Base (QKB) |
| Data Exploration & Profiling | 25% | - Configuring and interpreting data profiles - Building and running data explorations - Identifying data anomalies and quality issues |
| Business Rules & Monitoring | 12% | - Designing monitoring jobs and alerts - Scheduling and running jobs on Data Management Server - Creating and managing business rules |
| Advanced Techniques | 8% | - Using Expression Engine Language (EEL) - Implementing macro variables and reusable logic |
| DataFlux Methodology & Environment | 20% | - Navigating Data Management Studio interface - Understanding Plan, Act, Monitor phases - Connecting to data sources and creating data collections |
| Entity Resolution & Matching | 15% | - Configuring identification analysis - Building match codes and clustering strategies - Surviving record identification |






