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Informatica Data Quality 10: Developer Specialist : Data-Quality-10-Developer-Specialist
- Exam Code: Data-Quality-10-Developer-Specialist
- Exam Name: Data Quality 10: Developer Specialist Exam
- Updated: Aug 09, 2026
- Q & A: 70 Questions and Answers
About Informatica Data-Quality-10-Developer-Specialist Exam
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):
- Data Quality: Data Quality Management for Developers
- Data Quality: Advanced Techniques
- Informatica Analyst
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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:
- Perform and interpret column, rule, comparative and mid-stream profiling
- Recognize how reference tables are used in the standardization process
- Describe the requirements for integration for Excel
- Be aware of where data standardization fits in the DQ process
- Explain the Web service capabilities required for DQ for Excel
- Apply, configure and troubleshoot data standardization transformations
- Describe how to Export a Project
- Differentiate between the various parsing techniques available
- Define the techniques for creating mappings for DQ for Excel
- Provide an explanation on how to use the Informatica ribbon in Excel
- Define the difference between the Basic and Advanced Import options available
- Explain Dependency conflict resolution and how it is handled
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Mapping Development and Execution | 12% | - Parameters, variables, and workflow integration - Building and testing IDQ mappings - Debugging and performance tuning |
| Topic 2: Matching and Consolidation | 25% | - Survivorship and consolidation rules - Grouping and match strategies - Comparison and Match transformations - Duplicate resolution and golden record creation |
| Topic 3: Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Topic 4: Data Profiling | 20% | - Analyzing profile results and quality metrics - Pattern discovery and data domain identification - Column and rule-based profiling |
| Topic 5: Data Quality Concepts and Architecture | 15% | - Core data quality principles - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components |
| Topic 6: Standardization and Cleansing | 20% | - Parser, Standardizer, and Case Converter transformations - Address validation and cleansing - Reference tables and dictionary management |
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