Exam Name: Data Quality 10: Developer Specialist Exam
Certification Provider: Informatica
Corresponding Certification: Informatica Data Quality
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Updated: Aug 12, 2026
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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.
Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Identifying duplicate records
- Executing mappings in PowerCenter
- Project Collaboration techniques such as Tags and Comments
- Converting a profile into a mapping
- Performing Address Validation
- Automate and manual consolidation of duplicate records into a master record
- Using mappings and mapplets to cleanse and standardize data
- Navigation through the Developer Tool
- Using Profiles and reference tables to share information with Analysts
- Profiling methods to identify data irregularities and inaccuracies
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:
- Business Analysts
- Business Developers
- Analytics Professionals
- Mainframe Developers and Architects
- Data Explorers
- Candidates interested in taking up career under Informatica
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Matching and Consolidation | 25% | - Comparison and Match transformations - Survivorship and consolidation rules - Grouping and match strategies - Duplicate resolution and golden record creation |
| Mapping Development and Execution | 12% | - Parameters, variables, and workflow integration - Debugging and performance tuning - Building and testing IDQ mappings |
| Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Standardization and Cleansing | 20% | - Reference tables and dictionary management - Address validation and cleansing - Parser, Standardizer, and Case Converter transformations |
| Data Profiling | 20% | - Analyzing profile results and quality metrics - Pattern discovery and data domain identification - Column and rule-based profiling |
| Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Core data quality principles - Informatica Data Quality (IDQ) architecture and components |
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