Informatica Data Quality 10: Developer Specialist Data-Quality-10-Developer-Specialist Certified Exam Dumps

Data-Quality-10-Developer-Specialist Exam Dumps

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Certification Provider: Informatica
Exam Code / Number: Data-Quality-10-Developer-Specialist
Exam Name: Data Quality 10: Developer Specialist Exam
Exam Questions: 70
Last Updated: Jun 20, 2026
Corresponding Certification: Informatica Data Quality

Go To Data-Quality-10-Developer-Specialist Questions

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Informatica Data-Quality-10-Developer-Specialist exam is a certification program designed for professionals who want to demonstrate their proficiency in data quality management using Informatica tools. Data-Quality-10-Developer-Specialist exam is intended for developers who have experience in developing data quality solutions using Informatica Data Quality (IDQ) version 10.x. Passing Data-Quality-10-Developer-Specialist exam is a key step towards becoming a certified Informatica Data Quality Developer Specialist.

The Data Quality 10: Developer Specialist certification exam is ideal for data quality developers, data quality analysts, data architects, ETL developers, and data integration developers. Data Quality 10: Developer Specialist Exam certification helps professionals to advance their careers and increase their earning potential. It also helps organizations to identify and retain skilled professionals who can deliver quality data, improve business processes and drive business growth.

The Data Quality 10: Developer Specialist Exam certification exam is intended for professionals who are working with Informatica Data Quality tools and solutions on a regular basis, such as developers, data analysts, data quality analysts, and data architects. It is also suitable for individuals who are looking to transition into a career in data quality.

The Informatica Data-Quality-10-Developer-Specialist exam is divided into two main sections: Data Quality Developer Fundamentals and Advanced Developer Techniques. The Fundamentals section covers topics such as data profiling, data standardization, data cleansing, and data parsing. The Advanced Developer Techniques section covers topics such as data matching, survivorship, consolidation, and scorecards. Data-Quality-10-Developer-Specialist exam is designed to test the ability of developers to apply their knowledge of IDQ 10 to solve real-world data quality problems. Those who pass the exam will be recognized as Informatica Certified Data Quality Developer Specialists, which will enhance their career prospects and increase their credibility in the industry.

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

SectionWeightObjectives
Data Profiling15%- Profiling Methods
  • 1. Rule-based profiling
    • 2. Column profiling
      • 3. Comparative profiling
        Content10%- Prebuilt Content Usage
        • 1. Accelerators and reference data
          Matching10%- Match Logic
          • 1. Identity matching concepts
            • 2. Match rules and strategies
              Informatica Platform Overview10%- Architecture and Components
              • 1. Repository and services setup
                • 2. Informatica Data Quality architecture concepts
                  Analyst Collaboration10%- Analyst Tool Usage
                  • 1. Scorecards, profiling, filters, tags
                    • 2. Collaboration between Analyst and Developer
                      Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                      • 1. Duplicate record handling
                        • 2. Master record creation
                          Address Validation5%- Address Validation Transformation
                          • 1. Output interpretation
                            • 2. Validation modes and configuration
                              Object Import and Export5%- Metadata Management
                              • 1. Import/export of mappings and objects
                                DQ for Excel5%- Excel-based Data Quality
                                • 1. Web service integration with Excel
                                  Integration with PowerCenter5%- Execution and Deployment
                                  • 1. Integration workflows
                                    • 2. Running mappings in PowerCenter
                                      Parameters5%- Runtime Configuration
                                      • 1. Parameter files and runtime variables
                                        Standardization and Mapplets10%- Data Standardization
                                        • 1. Parsing techniques
                                          • 2. Standardizer transformation usage
                                            • 3. Reference tables in standardization


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