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 16, 2026     Q & A: 70 Questions and Answers

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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

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

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

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

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

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

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

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