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

  • 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
  • Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools

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

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

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

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

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