Informatica Data-Quality-10-Developer-Specialist real exam prep : 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&As: 70 Questions and Answers

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About Informatica Data-Quality-10-Developer-Specialist Real Exam

How to book the Data Quality 10 Developer, Professional Certification

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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.

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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:

  • Develop and build match plans to identify duplicate or related data
  • Differentiate between the matching algorithms available and explain how matching scores are
  • Configure Identity Matching option for the match transformation
  • Describe the process of exporting mappings with parameters built in
  • Explain what parameters are and why they are used including what parameter functions are supported
  • Explain populations, the identity match strategies that are available and how they are used in Identity Matching
  • Identify which Transformations can use parameters
  • Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
  • Interpret the AV outputs generated
  • Explain what Content is, what is contained in the Core Accelerator and why it is used in the Core Accelerator and why it is used
  • Verify the importance of Address Validation

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

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

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