Data Quality 10: Developer Specialist Exam: Data-Quality-10-Developer-Specialist Exam

"Data Quality 10: Developer Specialist Exam", also known as Data-Quality-10-Developer-Specialist exam, is a Informatica Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 70 Q&As to your Data-Quality-10-Developer-Specialist Exam preparation. In the Data-Quality-10-Developer-Specialist exam resources, you will cover every field and category in Informatica Data Quality Certification helping to ready you for your successful Informatica Certification.

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  • Updated on: Aug 23, 2026
  • No. of Questions: 70 Questions & Answers

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  • Updated on: Aug 23, 2026
  • No. of Questions: 70 Questions & Answers

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

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

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How to book the Data Quality 10 Developer, Professional Certification

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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:

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

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

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

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