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

  • Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
  • Generate a survivor record in the DQA
  • Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
  • Remove duplicates using DQA
  • Describe the Informatica 10 architecture and set up including the repositories required for installation
  • Troubleshoot any problems that may occur
  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
  • Describe how Analysts and Developers can collaborate on projects
  • 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
  • Describe the benefits of project collaboration to a team

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

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

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