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:

• Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
• 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
• Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
• Describe the benefits of project collaboration to a team
• Troubleshoot any problems that may occur
• Describe the Informatica 10 architecture and set up including the repositories required for installation
• Describe how Analysts and Developers can collaborate on projects
• Remove duplicates using DQA
• Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
• Provide information on the Data Quality process and dimensions of 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:

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

For more info read reference:

Informatica Website

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