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Informatica Data-Quality-10-Developer-Specialist Valid Braindumps - Data Quality 10: Developer Specialist Exam

Data-Quality-10-Developer-Specialist
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Jul 28, 2026
  • Q & A: 70 Questions and Answers
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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:

  • Verify the importance of Address Validation
  • 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
  • Describe the process of exporting mappings with parameters built in
  • Configure Identity Matching option for the match transformation
  • Explain what parameters are and why they are used including what parameter functions are supported
  • Differentiate between the matching algorithms available and explain how matching scores are
  • 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
  • Identify which Transformations can use parameters
  • Explain populations, the identity match strategies that are available and how they are used in Identity Matching

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

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

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

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

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