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Updated: Jul 31, 2026
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Data Quality 10 Developer, Professional Certification Path
This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.
Informatica Data-Quality-10-Developer-Specialist Exam Overview:
| Certification Vendor: | Informatica |
| Exam Name: | Informatica Data Quality 10: Developer Specialist Exam |
| Exam Number: | DATA-QUALITY-10-DEVELOPER-SPECIALIST |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 60-70 |
| Exam Price: | $200-$250 USD (varies by region) |
| Exam Format: | Multiple Choice, Multiple Response, True/False, Drag and Drop |
| Available Languages: | English, Japanese, Korean |
| Exam Duration: | 90 minutes |
| Related Certifications: | Informatica Data Quality 10: Administrator Specialist Informatica PowerCenter 10.x Developer Specialist |
| Passing Score: | 70% |
| Recommended Training: | Informatica Data Quality: Advanced Techniques Informatica Data Quality: Data Quality Management for Developers |
| Exam Registration: | Pearson VUE Registration Informatica Certification Portal |
| Sample Questions: | Informatica Data-Quality-10-Developer-Specialist Sample Questions |
| Exam Way: | Computer-based testing; Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended: basic knowledge of data quality concepts, familiarity with Informatica PowerCenter, 6-12 months hands-on experience with IDQ 10 |
| Official Syllabus URL: | https://www.informatica.com/services-and-training/certification/data-quality-certification.html |
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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 - Debugging and performance tuning - Building and testing IDQ mappings |
| Topic 2: Standardization and Cleansing | 20% | - Address validation and cleansing - Reference tables and dictionary management - Parser, Standardizer, and Case Converter transformations |
| Topic 3: Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
| Topic 4: Data Quality Concepts and Architecture | 15% | - Core data quality principles - Informatica Data Quality (IDQ) architecture and components - Integration with PowerCenter and Analyst tool |
| Topic 5: Matching and Consolidation | 25% | - Comparison and Match transformations - Survivorship and consolidation rules - Grouping and match strategies - Duplicate resolution and golden record creation |
| Topic 6: Data Profiling | 20% | - Analyzing profile results and quality metrics - Column and rule-based profiling - Pattern discovery and data domain identification |
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