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Updated: Aug 18, 2026
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How to study the Data Quality 10 Developer, Professional Certification
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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):
- Data Quality: Data Quality Management for Developers
- Data Quality: Advanced Techniques
- Informatica Analyst
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.
Informatica Data-Quality-10-Developer-Specialist Exam Overview:
| Certification Vendor: | Informatica |
| Exam Name: | Informatica Data Quality 10: Developer Specialist Exam |
| Exam Number: | DQ10:03S (commonly referenced) / Data-Quality-10-Developer-Specialist |
| Exam Price: | Varies by region (typically around USD 100–150) |
| Exam Duration: | 90 minutes |
| Passing Score: | 70% |
| Real Exam Qty: | 70 |
| Exam Format: | Multiple Choice, Multiple Response, True/False |
| Related Certifications: | Informatica Data Quality 10 Developer Professional Informatica Data Quality 10 Administrator Professional |
| Certificate Validity Period: | Not explicitly fixed / typically does not expire as per Informatica certification policy |
| Available Languages: | English, Japanese, Korean |
| Recommended Training: | Data Quality: Data Quality Management for Developers Data Quality: Advanced Techniques Informatica Analyst Training |
| Exam Registration: | Informatica Certification Portal |
| Sample Questions: | Informatica Data-Quality-10-Developer-Specialist Sample Questions |
| Exam Way: | Online proctored exam (scheduled via Informatica certification portal) |
| Pre Condition: | Recommended: experience with Informatica Data Quality Developer tool and completion of Informatica Data Quality training courses |
| Official Syllabus URL: | https://now.informatica.com/ |
Topics of Data Quality 10 Developer, Professional Certification
INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:
- Integration with PowerCenter
- Address Validation
- Matching
- DQ for Excel
- Profiling
- Informatica Overview
- Content
- Object Import and Export
- Standardization/Mapplets
- Analyst Collaboration
- Parameters
- Consolidation and the DQA
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration with PowerCenter | 5% | - Execution and Deployment
|
| Topic 2: Informatica Platform Overview | 10% | - Architecture and Components
|
| Topic 3: Standardization and Mapplets | 10% | - Data Standardization
|
| Topic 4: Object Import and Export | 5% | - Metadata Management
|
| Topic 5: Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Topic 6: Address Validation | 5% | - Address Validation Transformation
|
| Topic 7: Parameters | 5% | - Runtime Configuration
|
| Topic 8: DQ for Excel | 5% | - Excel-based Data Quality
|
| Topic 9: Matching | 10% | - Match Logic
|
| Topic 10: Content | 10% | - Prebuilt Content Usage
|
| Topic 11: Data Profiling | 15% | - Profiling Methods
|
| Topic 12: Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
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