Try and practice the latest Informatica : Data-Quality-10-Developer-Specialist real questions & answers
Updated: Aug 21, 2026
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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
- Informatica Analyst
- Data Quality: Advanced Techniques
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: | DATA-QUALITY-10-DEVELOPER-SPECIALIST |
| Available Languages: | English, Japanese, Korean |
| Certificate Validity Period: | 2 years |
| Passing Score: | 70% |
| Exam Price: | $200-$250 USD (varies by region) |
| Exam Duration: | 90 minutes |
| Related Certifications: | Informatica Data Quality 10: Administrator Specialist Informatica PowerCenter 10.x Developer Specialist |
| Real Exam Qty: | 60-70 |
| Exam Format: | Multiple Choice, Multiple Response, True/False, Drag and Drop |
| Recommended Training: | Informatica Data Quality: Data Quality Management for Developers Informatica Data Quality: Advanced Techniques |
| 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 |
Topics of Data Quality 10 Developer, Professional Certification
INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:
- Standardization/Mapplets
- Parameters
- Consolidation and the DQA
- Informatica Overview
- Object Import and Export
- DQ for Excel
- Profiling
- Matching
- Analyst Collaboration
- Integration with PowerCenter
- Address Validation
- Content
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Matching and Consolidation | 25% | - Comparison and Match transformations - Duplicate resolution and golden record creation - Survivorship and consolidation rules - Grouping and match strategies |
| Topic 2: Mapping Development and Execution | 12% | - Parameters, variables, and workflow integration - Debugging and performance tuning - Building and testing IDQ mappings |
| Topic 3: Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Topic 4: Data Profiling | 20% | - Pattern discovery and data domain identification - Analyzing profile results and quality metrics - Column and rule-based profiling |
| Topic 5: Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Core data quality principles - Informatica Data Quality (IDQ) architecture and components |
| Topic 6: Standardization and Cleansing | 20% | - Reference tables and dictionary management - Parser, Standardizer, and Case Converter transformations - Address validation and cleansing |
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