Try Informatica : Data-Quality-10-Developer-Specialist practice torrent pass for sure

Last Updated: Jul 20, 2026

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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:

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

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

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

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

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