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Peoplw who want to learn how to run data quality mapping on Excel spread sheets in this module (Power Center Integration, Performing Consolidation, grouping data and DQ Matching Cluster Analysis, GUI, Mappings Mapplets and Reusable AV Transformation.etc) and identify, resolve, and prevent costly data problems can consult INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exam and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams.
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To apply for the Data Quality 10 Developer, Professional Certification , You have to follow these steps:
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| Section | Weight | Objectives |
|---|---|---|
| Matching | 10% | - Match Logic
|
| Parameters | 5% | - Runtime Configuration
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Data Profiling | 15% | - Profiling Methods
|
| Content | 10% | - Prebuilt Content Usage
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Object Import and Export | 5% | - Metadata Management
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Address Validation | 5% | - Address Validation Transformation
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
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