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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification

• No negative marking for wrong answers
• Passing grade: 70%
• Language of Exam: English, Japanese, Korean
• Duration of Exam: 90 minutes
• Type of Questions: Multiple choice (MCQs), multiple answers
• Number of questions: 70

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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 risks by identifying, resolving, and preventing costly data problems
• Reduce costs for the business
• 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:

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

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