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

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How to Prepare For Data Quality 10 Developer, Professional Certification

Preparation Guide for Data Quality 10 Developer, Professional Certification

Introduction for Data Quality 10 Developer, Professional Certification

This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.

The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.

This is recommended for students seeking certification as a Data Quality Developer Certified Professional.

The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):

• Data Quality: Data Quality Management for Developers
• Informatica Analyst
• Data Quality: Advanced Techniques

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