Data Quality 10: Developer Specialist Exam: Data-Quality-10-Developer-Specialist Exam
"Data Quality 10: Developer Specialist Exam", also known as Data-Quality-10-Developer-Specialist exam, is a Informatica Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 70 Q&As to your Data-Quality-10-Developer-Specialist Exam preparation. In the Data-Quality-10-Developer-Specialist exam resources, you will cover every field and category in Informatica Data Quality Certification helping to ready you for your successful Informatica Certification.
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How much Data Quality 10 Developer, Professional Certification Cost
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.
Topics of Data Quality 10 Developer, Professional Certification
INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:
- Object Import and Export
- Informatica Overview
- Consolidation and the DQA
- Content
- Analyst Collaboration
- Address Validation
- Parameters
- Profiling
- DQ for Excel
- Standardization/Mapplets
- Matching
- Integration with PowerCenter
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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification
- Achieve better business outcomes and maximize the return on data
- Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
- Reduce costs for the business
- Reduce risks by identifying, resolving, and preventing costly data problems
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:
- Be aware of where data standardization fits in the DQ process
- Describe the requirements for integration for Excel
- Explain Dependency conflict resolution and how it is handled
- Recognize how reference tables are used in the standardization process
- Define the techniques for creating mappings for DQ for Excel
- Describe how to Export a Project
- Apply, configure and troubleshoot data standardization transformations
- Provide an explanation on how to use the Informatica ribbon in Excel
- Define the difference between the Basic and Advanced Import options available
- Differentiate between the various parsing techniques available
- Perform and interpret column, rule, comparative and mid-stream profiling
- Explain the Web service capabilities required for DQ for Excel
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Standardization and Cleansing | 20% | - Address validation and cleansing - Reference tables and dictionary management - Parser, Standardizer, and Case Converter transformations |
| Data Profiling | 20% | - Analyzing profile results and quality metrics - Pattern discovery and data domain identification - Column and rule-based profiling |
| Customization and Advanced Features | 8% | - Custom transformations and rules - DQ for Excel and other extensions |
| Mapping Development and Execution | 12% | - Parameters, variables, and workflow integration - Building and testing IDQ mappings - Debugging and performance tuning |
| Matching and Consolidation | 25% | - Survivorship and consolidation rules - Comparison and Match transformations - Grouping and match strategies - Duplicate resolution and golden record creation |
| Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components - Core data quality principles |
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