Informatica Data-Quality-10-Developer-Specialist exam - in .pdf

Data-Quality-10-Developer-Specialist pdf
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 03, 2026
  • Q & A: 70 Questions and Answers
  • PDF Price: $59.99
  • PDF Demo

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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 03, 2026
  • Q & A: 70 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Data-Quality-10-Developer-Specialist Testing Engine
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 03, 2026
  • Q & A: 70 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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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:

  • Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
  • Provide information on the Data Quality process and dimensions of data quality
  • Remove duplicates using DQA
  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
  • Describe the Informatica 10 architecture and set up including the repositories required for installation
  • Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
  • Describe the benefits of project collaboration to a team
  • Troubleshoot any problems that may occur
  • Generate a survivor record in the DQA
  • Describe how Analysts and Developers can collaborate on projects
  • Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables

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

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

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