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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

• Using mappings and mapplets to cleanse and standardize data
• Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
• Converting a profile into a mapping
• Identifying duplicate records
• Navigation through the Developer Tool
• Performing Address Validation
• Project Collaboration techniques such as Tags and Comments
• Using Profiles and reference tables to share information with Analysts
• Executing mappings in PowerCenter
• Automate and manual consolidation of duplicate records into a master record
• Profiling methods to identify data irregularities and inaccuracies

Peoplw who want to learn how to run data quality mapping on Excel spread sheets in this module (Power Center Integration, Performing Consolidation, grouping data and DQ Matching Cluster Analysis, GUI, Mappings Mapplets and Reusable AV Transformation.etc) and identify, resolve, and prevent costly data problems can consult INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exam and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams.

With a number of opportunities in the field, the following job roles will get benefited from this exam:

• Mainframe Developers and Architects
• Data Explorers
• Business Developers
• Candidates interested in taking up career under Informatica
• Analytics Professionals
• Business Analysts

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

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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics: