Informatica Data-Quality-10-Developer-Specialist Valid Q&A - in .pdf

  • Data-Quality-10-Developer-Specialist pdf
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Jul 26, 2026
  • Q & A: 70 Questions and Answers
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
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  • Updated: Jul 26, 2026
  • Q & A: 70 Questions and Answers
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Informatica Data-Quality-10-Developer-Specialist Valid Q&A - Testing Engine

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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Jul 26, 2026
  • Q & A: 70 Questions and Answers
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Topics of Data Quality 10 Developer, Professional Certification

INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:

  • Address Validation
  • Matching
  • Informatica Overview
  • DQ for Excel
  • Integration with PowerCenter
  • Content
  • Consolidation and the DQA
  • Object Import and Export
  • Parameters
  • Profiling
  • Standardization/Mapplets
  • Analyst Collaboration

Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

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

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

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

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