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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.
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The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:
- Explain the Web service capabilities required for DQ for Excel
- Provide an explanation on how to use the Informatica ribbon in Excel
- Differentiate between the various parsing techniques available
- Recognize how reference tables are used in the standardization process
- Perform and interpret column, rule, comparative and mid-stream profiling
- Define the difference between the Basic and Advanced Import options available
- Explain Dependency conflict resolution and how it is handled
- Apply, configure and troubleshoot data standardization transformations
- Describe how to Export a Project
- Be aware of where data standardization fits in the DQ process
- Define the techniques for creating mappings for DQ for Excel
- Describe the requirements for integration for Excel
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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- Passing grade: 70%
- Type of Questions: Multiple choice (MCQs), multiple answers
- No negative marking for wrong answers
- Language of Exam: English, Japanese, Korean
- Number of questions: 70
- Duration of Exam: 90 minutes
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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: Advanced Techniques
- Data Quality: Data Quality Management for Developers
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.
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Profiling | 15% | - Profiling Methods
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Parameters | 5% | - Runtime Configuration
|
| Address Validation | 5% | - Address Validation Transformation
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Matching | 10% | - Match Logic
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Object Import and Export | 5% | - Metadata Management
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Content | 10% | - Prebuilt Content Usage
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
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