For more info read reference:

Informatica Website

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

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

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:

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

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

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