Data-Quality-10-Developer-Specialist exam dumps

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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • No. of Questions: 70 Questions and Answers
  • Updated: Sep 13, 2026

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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification

  • No negative marking for wrong answers
  • Number of questions: 70
  • Language of Exam: English, Japanese, Korean
  • Type of Questions: Multiple choice (MCQs), multiple answers
  • Passing grade: 70%
  • Duration of Exam: 90 minutes

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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification

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

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

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

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