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

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:

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

How much Data Quality 10 Developer, Professional Certification Cost

The cost of the Data Quality 10 Developer, Professional Certification is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.

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:

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

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