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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification

• Reduce risks by identifying, resolving, and preventing costly data problems
• Achieve better business outcomes and maximize the return on data
• Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
• Reduce costs for the business

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:

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

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

Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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

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