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

  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Oct 22, 2026
  • Q & A: 70 Questions and Answers

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About Informatica Data-Quality-10-Developer-Specialist Exam Questions

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.

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

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

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Data Quality 10 Developer, Professional Certification Path

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

For more info read reference:

Informatica Website

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

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

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