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The Data-Quality-10-Developer-Specialist (Data Quality 10: Developer Specialist) Certification Exam enables professionals to demonstrate their expertise in Informatica Data Quality 10 and provides recognition for their advanced skills and knowledge in the field of data quality. Certified professionals are in high demand as they possess the necessary skills to deliver high-quality data-driven solutions that meet the standards of modern organizations. They also get an opportunity to join a community of Informatica certified professionals who share their knowledge and expertise in the data quality domain.

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

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

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