Try and practice the latest Informatica : Data-Quality-10-Developer-Specialist real questions & answers

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Informatica Data-Quality-10-Developer-Specialist Practice Q&A's

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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 how to Export a Project
  • Explain Dependency conflict resolution and how it is handled
  • Define the techniques for creating mappings for DQ for Excel
  • Recognize how reference tables are used in the standardization process
  • Describe the requirements for integration 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
  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Explain the Web service capabilities required for DQ for Excel
  • Differentiate between the various parsing techniques available
  • Define the difference between the Basic and Advanced Import options available

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.

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Topics of Data Quality 10 Developer, Professional Certification

INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:

  • Consolidation and the DQA
  • DQ for Excel
  • Parameters
  • Analyst Collaboration
  • Profiling
  • Matching
  • Address Validation
  • Standardization/Mapplets
  • Informatica Overview
  • Content
  • Object Import and Export
  • Integration with PowerCenter

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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Standardization and Cleansing20%- Parser, Standardizer, and Case Converter transformations
- Address validation and cleansing
- Reference tables and dictionary management
Topic 2: Customization and Advanced Features8%- DQ for Excel and other extensions
- Custom transformations and rules
Topic 3: Mapping Development and Execution12%- Building and testing IDQ mappings
- Parameters, variables, and workflow integration
- Debugging and performance tuning
Topic 4: Matching and Consolidation25%- Duplicate resolution and golden record creation
- Grouping and match strategies
- Survivorship and consolidation rules
- Comparison and Match transformations
Topic 5: Data Quality Concepts and Architecture15%- Informatica Data Quality (IDQ) architecture and components
- Core data quality principles
- Integration with PowerCenter and Analyst tool
Topic 6: Data Profiling20%- Analyzing profile results and quality metrics
- Column and rule-based profiling
- Pattern discovery and data domain identification
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