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

  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 05, 2026     Q & A: 70 Questions and Answers

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About Prep4sures Informatica Data-Quality-10-Developer-Specialist Exam

How to Prepare For Data Quality 10 Developer, Professional Certification

Preparation Guide for Data Quality 10 Developer, Professional Certification

Introduction for Data Quality 10 Developer, Professional Certification

This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.

The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.

This is recommended for students seeking certification as a Data Quality Developer Certified Professional.

The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):

  • Informatica Analyst
  • Data Quality: Data Quality Management for Developers
  • Data Quality: Advanced Techniques

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Topics of Data Quality 10 Developer, Professional Certification

INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:

  • Standardization/Mapplets
  • Analyst Collaboration
  • Object Import and Export
  • Consolidation and the DQA
  • DQ for Excel
  • Profiling
  • Integration with PowerCenter
  • Matching
  • Address Validation
  • Parameters
  • Content
  • Informatica Overview

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

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

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