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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:

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

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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:

  • Identify which Transformations can use parameters
  • Explain populations, the identity match strategies that are available and how they are used in Identity Matching
  • Configure Identity Matching option for the match transformation
  • Explain what Content is, what is contained in the Core Accelerator and why it is used in the Core Accelerator and why it is used
  • Describe the process of exporting mappings with parameters built in
  • Explain what parameters are and why they are used including what parameter functions are supported
  • Interpret the AV outputs generated
  • Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
  • Verify the importance of Address Validation
  • Develop and build match plans to identify duplicate or related data
  • Differentiate between the matching algorithms available and explain how matching scores are

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

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

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

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