Informatica Data-Quality-10-Developer-Specialist valid - 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 14, 2026
  • Q & A: 70 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Q & A: 70 Questions and Answers
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  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Q & A: 70 Questions and Answers
  • Software Price: $59.99
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About Informatica Data-Quality-10-Developer-Specialist valid braindumps

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:

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

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

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

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

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