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The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:
Preparation Guide for Data Quality 10 Developer, Professional Certification
Introduction for Data Quality 10 Developer, Professional Certification
This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.
The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.
This is recommended for students seeking certification as a Data Quality Developer Certified Professional.
The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):
We prepare INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams to prepare you for all these requirements.
The cost of the Data Quality 10 Developer, Professional Certification is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.
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Following are some reference material for actual Informatica Data-Quality-10-Developer-Specialist exam test
| Section | Weight | Objectives |
|---|---|---|
| Address Validation | 5% | - Address Validation Transformation
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Object Import and Export | 5% | - Metadata Management
|
| Content | 10% | - Prebuilt Content Usage
|
| Parameters | 5% | - Runtime Configuration
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Matching | 10% | - Match Logic
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Data Profiling | 15% | - Profiling Methods
|
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