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• Describe the benefits of project collaboration to a team
• Generate a survivor record in the DQA
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• Troubleshoot any problems that may occur
• Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
• Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
• Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
• Describe how Analysts and Developers can collaborate on projects
• Remove duplicates using DQA
• 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

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

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• Explain what parameters are and why they are used including what parameter functions are supported
• Interpret the AV outputs generated
• 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
• Develop and build match plans to identify duplicate or related data
• Identify which Transformations can use parameters
• Verify the importance of Address Validation
• Describe the process of exporting mappings with parameters built in
• 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
• 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

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