Topics of Data Quality 10 Developer, Professional Certification
INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:
- Content
- Address Validation
- Analyst Collaboration
- Informatica Overview
- Object Import and Export
- Matching
- Standardization/Mapplets
- Consolidation and the DQA
- Profiling
- DQ for Excel
- Parameters
- Integration with PowerCenter
What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- Duration of Exam: 90 minutes
- Language of Exam: English, Japanese, Korean
- Number of questions: 70
- Passing grade: 70%
- Type of Questions: Multiple choice (MCQs), multiple answers
- No negative marking for wrong answers
How to Prepare For Data Quality 10 Developer, Professional Certification
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):
- Informatica Analyst
- Data Quality: Data Quality Management for Developers
- Data Quality: Advanced Techniques
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Profiling | 15% | - Profiling Methods
|
| Topic 2: Matching | 10% | - Match Logic
|
| Topic 3: Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Topic 4: Standardization and Mapplets | 10% | - Data Standardization
|
| Topic 5: Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Topic 6: Integration with PowerCenter | 5% | - Execution and Deployment
|
| Topic 7: Address Validation | 5% | - Address Validation Transformation
|
| Topic 8: Parameters | 5% | - Runtime Configuration
|
| Topic 9: Content | 10% | - Prebuilt Content Usage
|
| Topic 10: Object Import and Export | 5% | - Metadata Management
|
| Topic 11: DQ for Excel | 5% | - Excel-based Data Quality
|
| Topic 12: Informatica Platform Overview | 10% | - Architecture and Components
|
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