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Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:

SectionWeightObjectives
Address Validation5%- Address Validation Transformation
  • 1. Validation modes and configuration
    • 2. Output interpretation
      Parameters5%- Runtime Configuration
      • 1. Parameter files and runtime variables
        Analyst Collaboration10%- Analyst Tool Usage
        • 1. Scorecards, profiling, filters, tags
          • 2. Collaboration between Analyst and Developer
            Integration with PowerCenter5%- Execution and Deployment
            • 1. Integration workflows
              • 2. Running mappings in PowerCenter
                Matching10%- Match Logic
                • 1. Match rules and strategies
                  • 2. Identity matching concepts
                    Informatica Platform Overview10%- Architecture and Components
                    • 1. Repository and services setup
                      • 2. Informatica Data Quality architecture concepts
                        Object Import and Export5%- Metadata Management
                        • 1. Import/export of mappings and objects
                          Data Profiling15%- Profiling Methods
                          • 1. Column profiling
                            • 2. Comparative profiling
                              • 3. Rule-based profiling
                                Content10%- Prebuilt Content Usage
                                • 1. Accelerators and reference data
                                  Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                                  • 1. Duplicate record handling
                                    • 2. Master record creation
                                      Standardization and Mapplets10%- Data Standardization
                                      • 1. Parsing techniques
                                        • 2. Standardizer transformation usage
                                          • 3. Reference tables in standardization
                                            DQ for Excel5%- Excel-based Data Quality
                                            • 1. Web service integration with Excel
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