What is the duration, language, and format of Data Quality 10 Developer, Professional Certification

• No negative marking for wrong answers
• Duration of Exam: 90 minutes
• Type of Questions: Multiple choice (MCQs), multiple answers
• Language of Exam: English, Japanese, Korean
• Number of questions: 70
• Passing grade: 70%

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

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For more info read reference:

Informatica Website

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

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