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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:

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

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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
  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Provide an explanation on how to use the Informatica ribbon in Excel
  • Define the techniques for creating mappings for DQ for Excel
  • Explain Dependency conflict resolution and how it is handled
  • Apply, configure and troubleshoot data standardization transformations
  • Differentiate between the various parsing techniques available
  • 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
  • Describe how to Export a Project
  • Explain the Web service capabilities required for DQ for Excel

Topics of Data Quality 10 Developer, Professional Certification

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

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

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

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

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