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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:

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

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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:

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

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

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

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