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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: Oct 12, 2026
- Q & A: 70 Questions and Answers
About Informatica Data Quality 10: Developer Specialist : Data-Quality-10-Developer-Specialist Exam
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The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:
- Provide an explanation on how to use the Informatica ribbon in Excel
- Differentiate between the various parsing techniques available
- Be aware of where data standardization fits in the DQ process
- Describe how to Export a Project
- Define the techniques for creating mappings for DQ for Excel
- Explain Dependency conflict resolution and how it is handled
- Recognize how reference tables are used in the standardization process
- Apply, configure and troubleshoot data standardization transformations
- Define the difference between the Basic and Advanced Import options available
- Explain the Web service capabilities required for DQ for Excel
- Describe the requirements for integration for Excel
- Perform and interpret column, rule, comparative and mid-stream profiling
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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification
- Reduce risks by identifying, resolving, and preventing costly data problems
- Reduce costs for the business
- Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
- Achieve better business outcomes and maximize the return on data
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Topic 2: Informatica Platform Overview | 10% | - Architecture and Components
|
| Topic 3: Integration with PowerCenter | 5% | - Execution and Deployment
|
| Topic 4: Standardization and Mapplets | 10% | - Data Standardization
|
| Topic 5: Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Topic 6: Address Validation | 5% | - Address Validation Transformation
|
| Topic 7: DQ for Excel | 5% | - Excel-based Data Quality
|
| Topic 8: Object Import and Export | 5% | - Metadata Management
|
| Topic 9: Content | 10% | - Prebuilt Content Usage
|
| Topic 10: Matching | 10% | - Match Logic
|
| Topic 11: Parameters | 5% | - Runtime Configuration
|
| Topic 12: Data Profiling | 15% | - Profiling Methods
|
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