Informatica Data-Quality-10-Developer-Specialist Q&A - in .pdf

  • Data-Quality-10-Developer-Specialist pdf
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Aug 08, 2026
  • Q & A: 70 Questions and Answers
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  • Exam Code: Data-Quality-10-Developer-Specialist
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  • Q & A: 70 Questions and Answers
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  • Exam Name: Data Quality 10: Developer Specialist Exam
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  • Q & A: 70 Questions and Answers
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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
  • Duration of Exam: 90 minutes
  • Type of Questions: Multiple choice (MCQs), multiple answers
  • No negative marking for wrong answers
  • Passing grade: 70%
  • Language of Exam: English, Japanese, Korean
  • Number of questions: 70
Topics of Data Quality 10 Developer, Professional Certification

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

  • Informatica Overview
  • Integration with PowerCenter
  • Matching
  • Consolidation and the DQA
  • DQ for Excel
  • Analyst Collaboration
  • Parameters
  • Standardization/Mapplets
  • Object Import and Export
  • Profiling
  • Content
  • Address Validation
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: Advanced Techniques
  • Data Quality: Data Quality Management for Developers

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.

Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Standardization and Mapplets10%- Data Standardization
  • 1. Reference tables in standardization
    • 2. Parsing techniques
      • 3. Standardizer transformation usage
        Topic 2: Address Validation5%- Address Validation Transformation
        • 1. Output interpretation
          • 2. Validation modes and configuration
            Topic 3: DQ for Excel5%- Excel-based Data Quality
            • 1. Web service integration with Excel
              Topic 4: Object Import and Export5%- Metadata Management
              • 1. Import/export of mappings and objects
                Topic 5: Content10%- Prebuilt Content Usage
                • 1. Accelerators and reference data
                  Topic 6: Data Profiling15%- Profiling Methods
                  • 1. Comparative profiling
                    • 2. Rule-based profiling
                      • 3. Column profiling
                        Topic 7: Parameters5%- Runtime Configuration
                        • 1. Parameter files and runtime variables
                          Topic 8: Analyst Collaboration10%- Analyst Tool Usage
                          • 1. Collaboration between Analyst and Developer
                            • 2. Scorecards, profiling, filters, tags
                              Topic 9: Matching10%- Match Logic
                              • 1. Match rules and strategies
                                • 2. Identity matching concepts
                                  Topic 10: Integration with PowerCenter5%- Execution and Deployment
                                  • 1. Integration workflows
                                    • 2. Running mappings in PowerCenter
                                      Topic 11: Informatica Platform Overview10%- Architecture and Components
                                      • 1. Informatica Data Quality architecture concepts
                                        • 2. Repository and services setup
                                          Topic 12: Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                                          • 1. Master record creation
                                            • 2. Duplicate record handling
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