Try Informatica : Data-Quality-10-Developer-Specialist practice torrent pass for sure

Updated: Aug 19, 2026

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

Certification Vendor:Informatica
Exam Name:Informatica Data Quality 10: Developer Specialist Exam
Exam Number:DQ10:03S (commonly referenced) / Data-Quality-10-Developer-Specialist
Exam Duration:90 minutes
Passing Score:70%
Related Certifications:Informatica Data Quality 10 Developer Professional
Informatica Data Quality 10 Administrator Professional
Exam Price:Varies by region (typically around USD 100–150)
Real Exam Qty:70
Available Languages:English, Japanese, Korean
Exam Format:Multiple Choice, Multiple Response, True/False
Certificate Validity Period:Not explicitly fixed / typically does not expire as per Informatica certification policy
Recommended Training:Data Quality: Advanced Techniques
Informatica Analyst Training
Data Quality: Data Quality Management for Developers
Exam Registration:Informatica Certification Portal
Sample Questions:Informatica Data-Quality-10-Developer-Specialist Sample Questions
Exam Way:Online proctored exam (scheduled via Informatica certification portal)
Pre Condition:Recommended: experience with Informatica Data Quality Developer tool and completion of Informatica Data Quality training courses
Official Syllabus URL:https://now.informatica.com/

Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

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

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

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