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

Data-Quality-10-Developer-Specialist real exams

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

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Jul 18, 2026

Q & A: 70 Questions and Answers

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

  • Click Enroll and log in to your Informatica account
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  • Once you have registered go to My Training and View Your Transcript
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  • Reduce risks by identifying, resolving, and preventing costly data problems
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:

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

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