Exam Name: Data Quality 10: Developer Specialist Exam
Certification Provider: Informatica
Corresponding Certification: Informatica Data Quality
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Instant Download Informatica : Data-Quality-10-Developer-Specialist Questions & Answers as PDF & Test Engine
Updated: Sep 05, 2026
No. of Questions: 70 Questions & Answers with Testing Engine
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The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:
- Describe the process of exporting mappings with parameters built in
- Configure Identity Matching option for the match transformation
- Develop and build match plans to identify duplicate or related data
- Differentiate between the matching algorithms available and explain how matching scores are
- 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
- 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
- Verify the importance of Address Validation
- Explain what parameters are and why they are used including what parameter functions are supported
- Interpret the AV outputs generated
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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification
- Reduce costs for the business
- Reduce risks by identifying, resolving, and preventing costly data problems
- Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
- Achieve better business outcomes and maximize the return on data
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Profiling | 20% | - Analyzing profile results and quality metrics - Pattern discovery and data domain identification - Column and rule-based profiling |
| Standardization and Cleansing | 20% | - Parser, Standardizer, and Case Converter transformations - Address validation and cleansing - Reference tables and dictionary management |
| Mapping Development and Execution | 12% | - Debugging and performance tuning - Parameters, variables, and workflow integration - Building and testing IDQ mappings |
| Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Core data quality principles - Informatica Data Quality (IDQ) architecture and components |
| Matching and Consolidation | 25% | - Grouping and match strategies - Duplicate resolution and golden record creation - Comparison and Match transformations - Survivorship and consolidation rules |
| Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
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