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

Informatica Data-Quality-10-Developer-Specialist exam
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Jul 29, 2026
  • Q & A: 70 Questions and Answers
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About Informatica Data-Quality-10-Developer-Specialist Exam Questions

The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification

  • Achieve better business outcomes and maximize the return on data
  • Reduce costs for the business
  • Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
  • 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:

  • Explain the Web service capabilities required for DQ for Excel
  • Apply, configure and troubleshoot data standardization transformations
  • Differentiate between the various parsing techniques available
  • Describe the requirements for integration for Excel
  • Be aware of where data standardization fits in the DQ process
  • Recognize how reference tables are used in the standardization process
  • Provide an explanation on how to use the Informatica ribbon in Excel
  • Define the difference between the Basic and Advanced Import options available
  • Explain Dependency conflict resolution and how it is handled
  • 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

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Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

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

SectionWeightObjectives
Topic 1: Analyst Collaboration10%- Analyst Tool Usage
  • 1. Collaboration between Analyst and Developer
    • 2. Scorecards, profiling, filters, tags
      Topic 2: Integration with PowerCenter5%- Execution and Deployment
      • 1. Integration workflows
        • 2. Running mappings in PowerCenter
          Topic 3: Parameters5%- Runtime Configuration
          • 1. Parameter files and runtime variables
            Topic 4: Standardization and Mapplets10%- Data Standardization
            • 1. Reference tables in standardization
              • 2. Standardizer transformation usage
                • 3. Parsing techniques
                  Topic 5: Informatica Platform Overview10%- Architecture and Components
                  • 1. Repository and services setup
                    • 2. Informatica Data Quality architecture concepts
                      Topic 6: Data Profiling15%- Profiling Methods
                      • 1. Column profiling
                        • 2. Rule-based profiling
                          • 3. Comparative profiling
                            Topic 7: DQ for Excel5%- Excel-based Data Quality
                            • 1. Web service integration with Excel
                              Topic 8: Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                              • 1. Duplicate record handling
                                • 2. Master record creation
                                  Topic 9: Address Validation5%- Address Validation Transformation
                                  • 1. Validation modes and configuration
                                    • 2. Output interpretation
                                      Topic 10: Content10%- Prebuilt Content Usage
                                      • 1. Accelerators and reference data
                                        Topic 11: Object Import and Export5%- Metadata Management
                                        • 1. Import/export of mappings and objects
                                          Topic 12: Matching10%- Match Logic
                                          • 1. Match rules and strategies
                                            • 2. Identity matching concepts

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