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Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Using Profiles and reference tables to share information with Analysts
- Executing mappings in PowerCenter
- Converting a profile into a mapping
- Profiling methods to identify data irregularities and inaccuracies
- Using mappings and mapplets to cleanse and standardize data
- Performing Address Validation
- Automate and manual consolidation of duplicate records into a master record
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Project Collaboration techniques such as Tags and Comments
- Identifying duplicate records
- Navigation through the Developer Tool
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.
With a number of opportunities in the field, the following job roles will get benefited from this exam:
- Business Developers
- Analytics Professionals
- Data Explorers
- Candidates interested in taking up career under Informatica
- Mainframe Developers and Architects
- Business Analysts
How to study the Data Quality 10 Developer, Professional Certification
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Address Validation | 5% | - Address Validation Transformation
|
| Content | 10% | - Prebuilt Content Usage
|
| Parameters | 5% | - Runtime Configuration
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Data Profiling | 15% | - Profiling Methods
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Object Import and Export | 5% | - Metadata Management
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Matching | 10% | - Match Logic
|
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