PDF Version DemoTopics of Data Quality 10 Developer, Professional Certification
INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:
- Parameters
- Matching
- Informatica Overview
- Profiling
- Object Import and Export
- DQ for Excel
- Consolidation and the DQA
- Analyst Collaboration
- Content
- Integration with PowerCenter
- Standardization/Mapplets
- Address Validation
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The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:
- Define the difference between the Basic and Advanced Import options available
- Be aware of where data standardization fits in the DQ process
- Recognize how reference tables are used in the standardization process
- Apply, configure and troubleshoot data standardization transformations
- Provide an explanation on how to use the Informatica ribbon in Excel
- Explain Dependency conflict resolution and how it is handled
- Explain the Web service capabilities required for DQ for Excel
- Define the techniques for creating mappings for DQ for Excel
- Describe how to Export a Project
- Perform and interpret column, rule, comparative and mid-stream profiling
- Describe the requirements for integration for Excel
- Differentiate between the various parsing techniques available
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Mapping Development and Execution | 12% | - Parameters, variables, and workflow integration - Building and testing IDQ mappings - Debugging and performance tuning |
| Topic 2: Data Profiling | 20% | - Analyzing profile results and quality metrics - Column and rule-based profiling - Pattern discovery and data domain identification |
| Topic 3: Standardization and Cleansing | 20% | - Parser, Standardizer, and Case Converter transformations - Address validation and cleansing - Reference tables and dictionary management |
| Topic 4: Matching and Consolidation | 25% | - Grouping and match strategies - Duplicate resolution and golden record creation - Survivorship and consolidation rules - Comparison and Match transformations |
| Topic 5: Data Quality Concepts and Architecture | 15% | - Core data quality principles - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components |
| Topic 6: Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
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