Informatica Data Quality 10: Developer Specialist : Data-Quality-10-Developer-Specialist

  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 07, 2026     Q & A: 70 Questions and Answers

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

Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

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Free Download Data-Quality-10-Developer-Specialist exam dumps pdf

The Data Quality 10: Developer Specialist Exam certification is aimed at data management professionals, data analysts, ETL developers, and anyone else who is involved in data management. With the rapid growth of data, data quality has become essential for businesses to improve operational efficiency and make informed decisions. Therefore, the certification holds great value in the industry and is globally recognized as a benchmark of excellence.

Informatica Data-Quality-10-Developer-Specialist exam consists of multiple-choice questions that cover various topics related to data quality, including data profiling, data cleansing, data matching, and data standardization. Data-Quality-10-Developer-Specialist exam also evaluates the candidate's ability to develop and maintain data quality mappings and workflows using Informatica Data Quality 10. Data-Quality-10-Developer-Specialist exam is conducted online and can be taken from anywhere in the world.

To be eligible for the Informatica Data-Quality-10-Developer-Specialist exam, candidates must have a minimum of two years of experience in developing data quality solutions using the Informatica Data Quality 10 platform. They must also have a good understanding of data quality concepts and best practices. Candidates who pass the exam will receive the Informatica Data Quality 10: Developer Specialist certification, which is recognized by many organizations as a mark of excellence in the field of data quality development.

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

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

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