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.

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How to Prepare For Data Quality 10 Developer, Professional Certification

Preparation Guide for Data Quality 10 Developer, Professional Certification

Introduction for Data Quality 10 Developer, Professional Certification

This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.

The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.

This is recommended for students seeking certification as a Data Quality Developer Certified Professional.

The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):

• Informatica Analyst
• Data Quality: Advanced Techniques
• Data Quality: Data Quality Management for Developers

We prepare INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams to prepare you for all these requirements.

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:

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

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

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