Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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

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

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:

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

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