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.

  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Total Questions: 70

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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:

SectionWeightObjectives
Customization and Advanced Features8%- Custom transformations and rules
- DQ for Excel and other extensions
Mapping Development and Execution12%- Parameters, variables, and workflow integration
- Building and testing IDQ mappings
- Debugging and performance tuning
Data Quality Concepts and Architecture15%- Integration with PowerCenter and Analyst tool
- Informatica Data Quality (IDQ) architecture and components
- Core data quality principles
Data Profiling20%- Analyzing profile results and quality metrics
- Pattern discovery and data domain identification
- Column and rule-based profiling
Standardization and Cleansing20%- Address validation and cleansing
- Reference tables and dictionary management
- Parser, Standardizer, and Case Converter transformations
Matching and Consolidation25%- Survivorship and consolidation rules
- Comparison and Match transformations
- Grouping and match strategies
- Duplicate resolution and golden record creation

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