Informatica Data-Quality-10-Developer-Specialist : 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 06, 2026

Q & A: 70 Questions and Answers

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With the increased digitization of the economy, a humongous amount of semi-structured and unstructured data is emanating from various sources. Due to this unmatched format of data, the need for data integration to process the data becomes a necessity. Informatica is widely known for its data integration abilities across the globe.

Informatica PowerCenter allows migrating, integrating, and governing the enterprise-wide data, and hence it has attracted many aspirants to build careers in this lucrative domain. Merely getting the training does not lead people to success; a certification has become the need of the hour. Before taking up this test, an applicant must make sure that he/she has the skills in Informatica architecture, service maintenance, security, deployment, license keys, repository management, web services, command-line interfaces, metadata reporting, and administrator tool. You can use TestInsides exam dumps to increase retention and improve preparation.

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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:

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

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

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

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