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:
- Configure Identity Matching option for the match transformation
- Verify the importance of Address Validation
- Explain what parameters are and why they are used including what parameter functions are supported
- Differentiate between the matching algorithms available and explain how matching scores are
- Explain populations, the identity match strategies that are available and how they are used in Identity Matching
- Develop and build match plans to identify duplicate or related data
- 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
- Interpret the AV outputs generated
- Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
- Describe the process of exporting mappings with parameters built in
- Identify which Transformations can use parameters
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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.
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Parameters | 5% | - Runtime Configuration
|
| Data Profiling | 15% | - Profiling Methods
|
| Address Validation | 5% | - Address Validation Transformation
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| Object Import and Export | 5% | - Metadata Management
|
| Matching | 10% | - Match Logic
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Content | 10% | - Prebuilt Content Usage
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
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