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
  • Q & A: 70 Questions and Answers
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Q & A: 70 Questions and Answers
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
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Topics of Data Quality 10 Developer, Professional Certification

INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:

  • Address Validation
  • Informatica Overview
  • Profiling
  • Object Import and Export
  • Content
  • DQ for Excel
  • Analyst Collaboration
  • Matching
  • Parameters
  • Standardization/Mapplets
  • Consolidation and the DQA
  • Integration with PowerCenter

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

  • Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
  • Reduce risks by identifying, resolving, and preventing costly data problems
  • Reduce costs for the business
  • Achieve better business outcomes and maximize the return on data

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

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