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

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

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

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