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
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
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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 |
|---|---|---|
| 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 |
| Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Informatica Data Quality (IDQ) architecture and components - Core data quality principles |
| Data Profiling | 20% | - Analyzing profile results and quality metrics - Pattern discovery and data domain identification - Column and rule-based profiling |
| Standardization and Cleansing | 20% | - Address validation and cleansing - Reference tables and dictionary management - Parser, Standardizer, and Case Converter transformations |
| Matching and Consolidation | 25% | - Survivorship and consolidation rules - Comparison and Match transformations - Grouping and match strategies - Duplicate resolution and golden record creation |
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