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

Data-Quality-10-Developer-Specialist Exam Questions
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Aug 14, 2026
  • Q & A: 70 Questions and Answers
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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification

  • Reduce risks by identifying, resolving, and preventing costly data problems
  • Achieve better business outcomes and maximize the return on data
  • Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
  • Reduce costs for the business

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How to book the Data Quality 10 Developer, Professional Certification

To apply for the Data Quality 10 Developer, Professional Certification , You have to follow these steps:

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

SectionWeightObjectives
Topic 1: Content10%- Prebuilt Content Usage
  • 1. Accelerators and reference data
    Topic 2: Data Profiling15%- Profiling Methods
    • 1. Rule-based profiling
      • 2. Comparative profiling
        • 3. Column profiling
          Topic 3: Standardization and Mapplets10%- Data Standardization
          • 1. Parsing techniques
            • 2. Reference tables in standardization
              • 3. Standardizer transformation usage
                Topic 4: DQ for Excel5%- Excel-based Data Quality
                • 1. Web service integration with Excel
                  Topic 5: Informatica Platform Overview10%- Architecture and Components
                  • 1. Informatica Data Quality architecture concepts
                    • 2. Repository and services setup
                      Topic 6: Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                      • 1. Master record creation
                        • 2. Duplicate record handling
                          Topic 7: Matching10%- Match Logic
                          • 1. Match rules and strategies
                            • 2. Identity matching concepts
                              Topic 8: Parameters5%- Runtime Configuration
                              • 1. Parameter files and runtime variables
                                Topic 9: Analyst Collaboration10%- Analyst Tool Usage
                                • 1. Scorecards, profiling, filters, tags
                                  • 2. Collaboration between Analyst and Developer
                                    Topic 10: Integration with PowerCenter5%- Execution and Deployment
                                    • 1. Running mappings in PowerCenter
                                      • 2. Integration workflows
                                        Topic 11: Object Import and Export5%- Metadata Management
                                        • 1. Import/export of mappings and objects
                                          Topic 12: Address Validation5%- Address Validation Transformation
                                          • 1. Output interpretation
                                            • 2. Validation modes and configuration

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