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

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

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

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

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

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