Exam Name: Data Quality 10: Developer Specialist Exam
Certification Provider: Informatica
Corresponding Certification: Informatica Data Quality
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Data Quality 10: Developer Specialist Exam: Data-Quality-10-Developer-Specialist Exam Premium File as PDF & Test Engine
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Last Updated: Sep 28, 2026
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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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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
- Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
- Develop and build match plans to identify duplicate or related data
- Identify which Transformations can use parameters
- Configure Identity Matching option for the match transformation
- 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
- Describe the process of exporting mappings with parameters built in
- Explain populations, the identity match strategies that are available and how they are used in Identity Matching
- Interpret the AV outputs generated
- Differentiate between the matching algorithms available and explain how matching scores are
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Parameters | 5% | - Runtime Configuration
|
| Topic 2: Data Profiling | 15% | - Profiling Methods
|
| Topic 3: Integration with PowerCenter | 5% | - Execution and Deployment
|
| Topic 4: Object Import and Export | 5% | - Metadata Management
|
| Topic 5: Standardization and Mapplets | 10% | - Data Standardization
|
| Topic 6: Informatica Platform Overview | 10% | - Architecture and Components
|
| Topic 7: Content | 10% | - Prebuilt Content Usage
|
| Topic 8: Matching | 10% | - Match Logic
|
| Topic 9: Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Topic 10: DQ for Excel | 5% | - Excel-based Data Quality
|
| Topic 11: Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Topic 12: Address Validation | 5% | - Address Validation Transformation
|
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