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

Informatica Data-Quality-10-Developer-Specialist Actual PDF
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Jul 24, 2026
  • Q & A: 70 Questions and Answers
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About Informatica Data Quality 10: Developer Specialist : Data-Quality-10-Developer-Specialist Exam

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Understanding functional and technical aspects of Data Quality 10 Developer, Professional Certification

The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:

  • Explain what parameters are and why they are used including what parameter functions are supported
  • Verify the importance of Address Validation
  • Differentiate between the matching algorithms available and explain how matching scores are
  • Describe the process of exporting mappings with parameters built in
  • Configure Identity Matching option for the match transformation
  • Develop and build match plans to identify duplicate or related data
  • Interpret the AV outputs generated
  • Explain what Content is, what is contained in the Core Accelerator and why it is used in the Core Accelerator and why it is used
  • Identify which Transformations can use parameters
  • Explain populations, the identity match strategies that are available and how they are used in Identity Matching
  • Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for

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

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

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