Study with Data-Quality-10-Developer-Specialist Actual Test Questions
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Updated: Jul 19, 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.
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: | DATA-QUALITY-10-DEVELOPER-SPECIALIST |
| Certificate Validity Period: | 2 years |
| Available Languages: | English, Japanese, Korean |
| Exam Format: | Multiple Choice, Multiple Response, True/False, Drag and Drop |
| Related Certifications: | Informatica Data Quality 10: Administrator Specialist Informatica PowerCenter 10.x Developer Specialist |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Exam Price: | $200-$250 USD (varies by region) |
| Real Exam Qty: | 60-70 |
| Recommended Training: | Informatica Data Quality: Advanced Techniques Informatica Data Quality: Data Quality Management for Developers |
| Exam Registration: | Informatica Certification Portal Pearson VUE Registration |
| 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:
- Profiling
- Object Import and Export
- Consolidation and the DQA
- Content
- DQ for Excel
- Standardization/Mapplets
- Matching
- Analyst Collaboration
- Parameters
- Address Validation
- Integration with PowerCenter
- Informatica Overview
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: Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Topic 3: Matching and Consolidation | 25% | - Grouping and match strategies - Duplicate resolution and golden record creation - Survivorship and consolidation rules - Comparison and Match transformations |
| Topic 4: Standardization and Cleansing | 20% | - Address validation and cleansing - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management |
| Topic 5: Data Profiling | 20% | - Column and rule-based profiling - Analyzing profile results and quality metrics - Pattern discovery and data domain identification |
| Topic 6: 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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