Data-Quality-10-Developer-Specialist test braindumps: Data Quality 10: Developer Specialist Exam & Data-Quality-10-Developer-Specialist exam dumps materials

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

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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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:

  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Describe how to Export a Project
  • Recognize how reference tables are used in the standardization process
  • Define the techniques for creating mappings for DQ for Excel
  • Explain the Web service capabilities required for DQ for Excel
  • Define the difference between the Basic and Advanced Import options available
  • Describe the requirements for integration for Excel
  • Apply, configure and troubleshoot data standardization transformations
  • Explain Dependency conflict resolution and how it is handled
  • Be aware of where data standardization fits in the DQ process
  • Differentiate between the various parsing techniques available
  • Provide an explanation on how to use the Informatica ribbon in Excel

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

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

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