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

Data-Quality-10-Developer-Specialist real exams

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

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Jul 17, 2026

Q & A: 70 Questions and Answers

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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:

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

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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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification

  • Language of Exam: English, Japanese, Korean
  • Duration of Exam: 90 minutes
  • Type of Questions: Multiple choice (MCQs), multiple answers
  • Passing grade: 70%
  • No negative marking for wrong answers
  • Number of questions: 70

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