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

  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Aug 16, 2026
  • Q&As: 70 Questions and Answers

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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

  • Navigation through the Developer Tool
  • Project Collaboration techniques such as Tags and Comments
  • Performing Address Validation
  • Using mappings and mapplets to cleanse and standardize data
  • Executing mappings in PowerCenter
  • Identifying duplicate records
  • Converting a profile into a mapping
  • Profiling methods to identify data irregularities and inaccuracies
  • Automate and manual consolidation of duplicate records into a master record
  • Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
  • Using Profiles and reference tables to share information with Analysts

Peoplw who want to learn how to run data quality mapping on Excel spread sheets in this module (Power Center Integration, Performing Consolidation, grouping data and DQ Matching Cluster Analysis, GUI, Mappings Mapplets and Reusable AV Transformation.etc) and identify, resolve, and prevent costly data problems can consult INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exam and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams.

With a number of opportunities in the field, the following job roles will get benefited from this exam:

  • Business Analysts
  • Data Explorers
  • Business Developers
  • Candidates interested in taking up career under Informatica
  • Mainframe Developers and Architects
  • Analytics Professionals

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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification

  • Achieve better business outcomes and maximize the return on data
  • Reduce risks by identifying, resolving, and preventing costly data problems
  • Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
  • Reduce costs for the business

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How to book the Data Quality 10 Developer, Professional Certification

To apply for the Data Quality 10 Developer, Professional Certification , You have to follow these steps:

  • Click Enroll and log in to your Informatica account
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:

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

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