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: Jul 30, 2026
  • Q & A: 70 Questions and Answers
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
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  • Updated: Jul 30, 2026
  • Q & A: 70 Questions and Answers
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Jul 30, 2026
  • Q & A: 70 Questions and Answers
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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.

Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

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 how to Export a Project
  • Differentiate between the various parsing techniques available
  • Apply, configure and troubleshoot data standardization transformations
  • Provide an explanation on how to use the Informatica ribbon in Excel
  • Recognize how reference tables are used in the standardization process
  • Explain the Web service capabilities required for DQ for Excel
  • Explain Dependency conflict resolution and how it is handled
  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Define the difference between the Basic and Advanced Import options available
  • Describe the requirements for integration for Excel
  • Define the techniques for creating mappings for DQ for Excel
  • Be aware of where data standardization fits in the DQ process

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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:

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

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

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

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