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

Data-Quality-10-Developer-Specialist
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Aug 20, 2026
  • Q & A: 70 Questions and Answers
  • PDF Version

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  • Informatica Data-Quality-10-Developer-Specialist Value Pack

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How much Data Quality 10 Developer, Professional Certification Cost

The cost of the Data Quality 10 Developer, Professional Certification is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.

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

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

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

  • Reduce costs for the business
  • 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

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

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

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