Informatica Data Quality 10: Developer Specialist : Data-Quality-10-Developer-Specialist

Data-Quality-10-Developer-Specialist real exams

Exam Code: Data-Quality-10-Developer-Specialist

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Oct 03, 2026

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About Informatica Data-Quality-10-Developer-Specialist Exam

Informatica Data-Quality-10-Developer-Specialist (Data Quality 10: Developer Specialist) certification exam is designed for professionals who want to validate their skills and knowledge in data quality development using the Informatica platform. Data-Quality-10-Developer-Specialist exam tests candidates on their ability to design, develop, and deploy data quality solutions using Informatica Data Quality tools, including the Data Quality Workbench, Data Quality Server, and Data Quality Web Services.

The Data Quality 10: Developer Specialist Exam certification exam validates the candidate's understanding of the data quality development life cycle, including profiling, standardization, matching, and consolidation. Data-Quality-10-Developer-Specialist exam also covers topics such as data quality architecture, data quality integration, and troubleshooting data quality issues. Data Quality 10: Developer Specialist Exam certification is ideal for data quality developers, data analysts, data architects, and data stewards who want to demonstrate their proficiency in data quality development using Informatica tools.

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Informatica Data-Quality-10-Developer-Specialist (Data Quality 10: Developer Specialist) Exam is a certification exam that tests the skills and knowledge of professionals in the field of data quality. Data-Quality-10-Developer-Specialist exam is designed to test the ability of developers to design, develop, and implement data quality solutions using the Informatica Data Quality tool. Data-Quality-10-Developer-Specialist exam is a great way for professionals in the data quality field to demonstrate their expertise and advance their careers.

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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:

SectionWeightObjectives
Data Quality Concepts and Architecture15%- Integration with PowerCenter and Analyst tool
- Core data quality principles
- Informatica Data Quality (IDQ) architecture and components
Customization and Advanced Features8%- DQ for Excel and other extensions
- Custom transformations and rules
Matching and Consolidation25%- Survivorship and consolidation rules
- Comparison and Match transformations
- Grouping and match strategies
- Duplicate resolution and golden record creation
Mapping Development and Execution12%- Building and testing IDQ mappings
- Debugging and performance tuning
- Parameters, variables, and workflow integration
Data Profiling20%- Analyzing profile results and quality metrics
- Column and rule-based profiling
- Pattern discovery and data domain identification
Standardization and Cleansing20%- Reference tables and dictionary management
- Address validation and cleansing
- Parser, Standardizer, and Case Converter transformations

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