Informatica Data-Quality-10-Developer-Specialist Q&A - in .pdf

  • Data-Quality-10-Developer-Specialist pdf
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 04, 2026
  • Q & A: 70 Questions and Answers
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How to book the Data Quality 10 Developer, Professional Certification

To apply for the Data Quality 10 Developer, Professional Certification , You have to follow these steps:

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  • Click Enroll and log in to your Informatica account
  • Once you have registered go to My Training and View Your Transcript
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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 risks by identifying, resolving, and preventing costly data problems
  • Reduce costs for the business

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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:

  • Differentiate between the matching algorithms available and explain how matching scores are
  • Describe the process of exporting mappings with parameters built in
  • Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
  • Interpret the AV outputs generated
  • Verify the importance of Address Validation
  • Explain populations, the identity match strategies that are available and how they are used in Identity Matching
  • Configure Identity Matching option for the match transformation
  • Identify which Transformations can use parameters
  • Explain what parameters are and why they are used including what parameter functions are supported
  • Develop and build match plans to identify duplicate or related data
  • Explain what Content is, what is contained in the Core Accelerator and why it is used in the Core Accelerator and why it is used

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

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