• Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Certification Provider: Informatica
  • Corresponding Certification:Informatica Data Quality
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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:

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

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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:

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

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For more info read reference:

Informatica Website

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

  • Reduce risks by identifying, resolving, and preventing costly data problems
  • Achieve better business outcomes and maximize the return on data
  • Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
  • Reduce costs for the business

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