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.
The Informatica Data-Quality-10-Developer-Specialist exam is divided into two main sections: Data Quality Developer Fundamentals and Advanced Developer Techniques. The Fundamentals section covers topics such as data profiling, data standardization, data cleansing, and data parsing. The Advanced Developer Techniques section covers topics such as data matching, survivorship, consolidation, and scorecards. Data-Quality-10-Developer-Specialist exam is designed to test the ability of developers to apply their knowledge of IDQ 10 to solve real-world data quality problems. Those who pass the exam will be recognized as Informatica Certified Data Quality Developer Specialists, which will enhance their career prospects and increase their credibility in the industry.
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Address Validation | 5% | - Address Validation Transformation
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Matching | 10% | - Match Logic
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Object Import and Export | 5% | - Metadata Management
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Parameters | 5% | - Runtime Configuration
|
| Content | 10% | - Prebuilt Content Usage
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| Data Profiling | 15% | - Profiling Methods
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|







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