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

Data-Quality-10-Developer-Specialist
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Jul 18, 2026
  • Q & A: 70 Questions and Answers
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About Informatica Data-Quality-10-Developer-Specialist Exam

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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:

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

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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:

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

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

SectionWeightObjectives
Topic 1: Mapping Development and Execution12%- Building and testing IDQ mappings
- Parameters, variables, and workflow integration
- Debugging and performance tuning
Topic 2: Matching and Consolidation25%- Survivorship and consolidation rules
- Grouping and match strategies
- Duplicate resolution and golden record creation
- Comparison and Match transformations
Topic 3: Customization and Advanced Features8%- Custom transformations and rules
- DQ for Excel and other extensions
Topic 4: Data Quality Concepts and Architecture15%- Informatica Data Quality (IDQ) architecture and components
- Core data quality principles
- Integration with PowerCenter and Analyst tool
Topic 5: Data Profiling20%- Analyzing profile results and quality metrics
- Column and rule-based profiling
- Pattern discovery and data domain identification
Topic 6: Standardization and Cleansing20%- Parser, Standardizer, and Case Converter transformations
- Reference tables and dictionary management
- Address validation and cleansing

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