Informatica Data-Quality-10-Developer-Specialist Dumps : Data Quality 10: Developer Specialist Exam

Data-Quality-10-Developer-Specialist real exams

Exam Code: Data-Quality-10-Developer-Specialist

Exam Name: Data Quality 10: Developer Specialist Exam

Updated: Sep 02, 2026

Q & A: 70 Questions and Answers

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About Informatica Data-Quality-10-Developer-Specialist Exam Questions

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.

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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:

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  • 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

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

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

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