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SASInstitute A00-262 Exam Syllabus Topics:

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