Informatica Data-Quality-10-Developer-Specialist Exam Information and Actual Questions

  • Exam Code/Number: Data-Quality-10-Developer-Specialist
  • Exam Name/Title: Data Quality 10: Developer Specialist Exam
  • Certification Provider: Informatica
  • Corresponding Certification: Informatica Data Quality
  • Exam Questions: 70
  • Updated On: Oct 06, 2026

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

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All the information you need to pass Informatica Data Quality 10: Developer Specialist Data-Quality-10-Developer-Specialist exam and free practice exam verified by ExamDiscuss exam experts.

The Data Quality 10: Developer Specialist Exam certification exam covers a wide range of topics related to data quality, including data profiling, data standardization, data cleansing, data matching, and data enrichment. Data-Quality-10-Developer-Specialist exam also tests the candidate's knowledge of data governance, data stewardship, and data quality best practices.

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
Real Exam Qty:70
Certificate Validity Period:Not explicitly fixed / typically does not expire as per Informatica certification policy
Exam Format:Multiple Choice, True/False, Multiple Response
Passing Score:70%
Available Languages:Japanese, English, Korean
Related Certifications:Informatica Data Quality 10 Developer Professional
Informatica Data Quality 10 Administrator Professional
Exam Price:Varies by region (typically around USD 100–150)
Exam Duration:90 minutes
Recommended Training:Informatica Analyst Training
Data Quality: Data Quality Management for Developers
Data Quality: Advanced Techniques
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/

The Informatica Data-Quality-10-Developer-Specialist exam covers a range of topics related to Informatica Data Quality 10 development, including data profiling, data quality assessment, data standardization, and data cleansing. It also covers advanced topics such as metadata management, reference data management, and data quality scorecards. Data-Quality-10-Developer-Specialist exam is designed to be challenging, and passing it requires a thorough understanding of these topics and their practical application in a development environment.

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

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


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