Data Quality 10: Developer Specialist Exam: Data-Quality-10-Developer-Specialist Exam
"Data Quality 10: Developer Specialist Exam", also known as Data-Quality-10-Developer-Specialist exam, is a Informatica Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 70 Q&As to your Data-Quality-10-Developer-Specialist Exam preparation. In the Data-Quality-10-Developer-Specialist exam resources, you will cover every field and category in Informatica Data Quality Certification helping to ready you for your successful Informatica Certification.
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- Exam Code: Data-Quality-10-Developer-Specialist
- Exam Name: Data Quality 10: Developer Specialist Exam
- Certification Provider: Informatica
- Corresponding Certification: Informatica Data Quality
- Updated: Aug 21, 2026
- No. of Questions: 70 Questions & Answers with Testing Engine
- Download Limit: Unlimited
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With the increased digitization of the economy, a humongous amount of semi-structured and unstructured data is emanating from various sources. Due to this unmatched format of data, the need for data integration to process the data becomes a necessity. Informatica is widely known for its data integration abilities across the globe.
Informatica PowerCenter allows migrating, integrating, and governing the enterprise-wide data, and hence it has attracted many aspirants to build careers in this lucrative domain. Merely getting the training does not lead people to success; a certification has become the need of the hour. Before taking up this test, an applicant must make sure that he/she has the skills in Informatica architecture, service maintenance, security, deployment, license keys, repository management, web services, command-line interfaces, metadata reporting, and administrator tool. You can use PrepPDF exam dumps to increase retention and improve preparation.
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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):
- Informatica Analyst
- Data Quality: Advanced Techniques
- Data Quality: Data Quality Management for Developers
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Mapping Development and Execution | 12% | - Parameters, variables, and workflow integration - Debugging and performance tuning - Building and testing IDQ mappings |
| Standardization and Cleansing | 20% | - Address validation and cleansing - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management |
| Data Profiling | 20% | - Pattern discovery and data domain identification - Analyzing profile results and quality metrics - Column and rule-based profiling |
| Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Core data quality principles - Informatica Data Quality (IDQ) architecture and components |
| Matching and Consolidation | 25% | - Duplicate resolution and golden record creation - Grouping and match strategies - Survivorship and consolidation rules - Comparison and Match transformations |
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