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: Aug 18, 2026     Q & A: 70 Questions and Answers

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About Pass4guide Informatica Data-Quality-10-Developer-Specialist Sure Pass Exam

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

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

Understanding functional and technical aspects of Data Quality 10 Developer, Professional Certification

The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:

  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
  • Remove duplicates using DQA
  • Generate a survivor record in the DQA
  • Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
  • Provide information on the Data Quality process and dimensions of data quality
  • Describe the benefits of project collaboration to a team
  • Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
  • Describe the Informatica 10 architecture and set up including the repositories required for installation
  • Troubleshoot any problems that may occur
  • Describe how Analysts and Developers can collaborate on projects
  • Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables

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

We prepare INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams to prepare you for all these requirements.

How much Data Quality 10 Developer, Professional Certification Cost

The cost of the Data Quality 10 Developer, Professional Certification is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.

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Following are some reference material for actual Informatica Data-Quality-10-Developer-Specialist exam test

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

SectionWeightObjectives
Address Validation5%- Address Validation Transformation
  • 1. Output interpretation
    • 2. Validation modes and configuration
      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
          Content10%- Prebuilt Content Usage
          • 1. Accelerators and reference data
            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
                  Standardization and Mapplets10%- Data Standardization
                  • 1. Reference tables in standardization
                    • 2. Standardizer transformation usage
                      • 3. Parsing techniques
                        Integration with PowerCenter5%- Execution and Deployment
                        • 1. Integration workflows
                          • 2. Running mappings in PowerCenter
                            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
                                    Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                                    • 1. Master record creation
                                      • 2. Duplicate record handling
                                        Data Profiling15%- Profiling Methods
                                        • 1. Rule-based profiling
                                          • 2. Column profiling
                                            • 3. Comparative profiling

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