• Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Certification Provider: Informatica
  • Corresponding Certification:Informatica Data Quality
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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 the benefits of project collaboration to a team
  • Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
  • Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
  • Provide information on the Data Quality process and dimensions of data quality
  • Remove duplicates using DQA
  • Generate a survivor record in the DQA
  • Describe the Informatica 10 architecture and set up including the repositories required for installation
  • Describe how Analysts and Developers can collaborate on projects
  • Troubleshoot any problems that may occur
  • Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments

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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification

  • Type of Questions: Multiple choice (MCQs), multiple answers
  • No negative marking for wrong answers
  • Duration of Exam: 90 minutes
  • Number of questions: 70
  • Language of Exam: English, Japanese, Korean
  • Passing grade: 70%

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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:

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

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

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

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

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