Informatica Data-Quality-10-Developer-Specialist Valid Dump : Data Quality 10: Developer Specialist Exam

Data-Quality-10-Developer-Specialist real exams

Exam Code: Data-Quality-10-Developer-Specialist

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Sep 10, 2026

Q & A: 70 Questions and Answers

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

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