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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- Type of Questions: Multiple choice (MCQs), multiple answers
- Duration of Exam: 90 minutes
- Number of questions: 70
- No negative marking for wrong answers
- Passing grade: 70%
- Language of Exam: English, Japanese, Korean
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How to study the Data Quality 10 Developer, Professional Certification
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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:
- Describe the requirements for integration for Excel
- Explain Dependency conflict resolution and how it is handled
- Define the techniques for creating mappings for DQ for Excel
- Differentiate between the various parsing techniques available
- Explain the Web service capabilities required for DQ for Excel
- Provide an explanation on how to use the Informatica ribbon in Excel
- Apply, configure and troubleshoot data standardization transformations
- Be aware of where data standardization fits in the DQ process
- 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
- Describe how to Export a Project
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Matching and Consolidation | 25% | - Grouping and match strategies - Comparison and Match transformations - Duplicate resolution and golden record creation - Survivorship and consolidation rules |
| Topic 2: Data Profiling | 20% | - Pattern discovery and data domain identification - Analyzing profile results and quality metrics - Column and rule-based profiling |
| Topic 3: Standardization and Cleansing | 20% | - Parser, Standardizer, and Case Converter transformations - Reference tables and dictionary management - Address validation and cleansing |
| Topic 4: Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
| Topic 5: Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components - Core data quality principles |
| Topic 6: Mapping Development and Execution | 12% | - Debugging and performance tuning - Parameters, variables, and workflow integration - Building and testing IDQ mappings |
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