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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:

  • Now you can simply Launch and take your test Anytime/Anywhere prior to your test's expiry date
  • Click Enroll and log in to your Informatica account
  • Once you have registered go to My Training and View Your Transcript
  • Click Add to Cart and complete your registration/purchase

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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
  • Passing grade: 70%
  • Language of Exam: English, Japanese, Korean
  • No negative marking for wrong answers
  • Duration of Exam: 90 minutes
  • Number of questions: 70

How much Data Quality 10 Developer, Professional Certification Cost

The cost of the Data Quality 10 Developer, Professional Certification is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.

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

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

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