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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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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

  • Performing Address Validation
  • Using mappings and mapplets to cleanse and standardize data
  • Using Profiles and reference tables to share information with Analysts
  • Identifying duplicate records
  • Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
  • Profiling methods to identify data irregularities and inaccuracies
  • Project Collaboration techniques such as Tags and Comments
  • Automate and manual consolidation of duplicate records into a master record
  • Navigation through the Developer Tool
  • Executing mappings in PowerCenter
  • Converting a profile into a mapping

Peoplw who want to learn how to run data quality mapping on Excel spread sheets in this module (Power Center Integration, Performing Consolidation, grouping data and DQ Matching Cluster Analysis, GUI, Mappings Mapplets and Reusable AV Transformation.etc) and identify, resolve, and prevent costly data problems can consult INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exam and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams.

With a number of opportunities in the field, the following job roles will get benefited from this exam:

  • Business Analysts
  • Candidates interested in taking up career under Informatica
  • Analytics Professionals
  • Data Explorers
  • Mainframe Developers and Architects
  • Business Developers

For more info read reference:

Informatica Website

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

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